Paid Courses For FREE

Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source

What you’ll learn

Professional Certificate in Machine Learning

Machine Learning – [A -Z] Comprehensive Training with Step by step guidance

Supervised Learning – (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, Support Vector Machines, Random Forest)

Unsupervised Learning – Clustering, K-Means clustering

Data Pre-processing – Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it.

Evaluating the Machine Learning Algorithms: Precision, Recall, F-Measure, Confusion Matrices,

Deep Convolutional Generative Adversarial Networks (DCGAN)

Java Programming For Data Scientists

Python Programming Basics For Data Science

Algorithm Analysis For Data Scientists

Requirements

Computer & Internet Connection

Description

Academy of Computing & Artificial Intelligence proudly presents you the course “Professional Certificate in Data Mining & Machine Learning“.

It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (Ph.D., Ph.D. Candidates, Senior Lecturers, Consultants, Researchers) and Industry Experts. hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2020.

To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance]. Each & every step is clearly explained. [Guided Tutorials]

“While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. Watch this video to better understand the relationship between AI and machine learning. You’ll see how these two technologies work, with useful examples and a few funny asides.”

Course Learning Outcomes

To provide a solid awareness of Supervised & Unsupervised learning coming under Machine Learning

Explain the appropriate usage of Machine Learning techniques.

To build appropriate neural models using a state-of-the-art python framework.

To build neural models from scratch, following step-by-step instructions.

Learn how to build end-to-end effective solutions to resolve real-world problems

To critically review and select the most appropriate machine learning solutions

python programming is also inclusive.

Requirements

A computer with an internet connection

Passion & commitment

At the end of the course you will gain the following

Learn to Build 500+ Projects with source code

Strong knowledge of Fundamentals in Machine Learning

Apply for the Dream Job in Data Science

Gain knowledge for your University Project

Setting up the Environment for Python Machine Learning

Understanding Data With Statistics & Data Pre-processing

Data Pre-processing – Scaling with a demonstration in python, Normalization, Binarization, Standardization in Python, feature Selection Techniques: Univariate Selection

Data Visualization with Python -charting will be discussed here with step-by-step guidance, Data preparation and Bar Chart, Histogram, Pie Chart, etc…

Artificial Neural Networks with Python, KERAS

KERAS Tutorial – Developing an Artificial Neural Network in Python -Step by Step

Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]

Naive Bayes Classifier with Python [Lecture & Demo]

Linear regression

Logistic regression

Introduction to clustering [K – Means Clustering ]

K – Means Clustering

What if you have questions?

we offer full support, answering any questions you have.

There’s no risk!

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Learn how to build your Data Analysis and Data Visualization skills using Excel, Python, SQL and Tableau with exercises.

What you'll learn

Learn about basic formatting in excel

Learn about sorting and filtering functions in excel

Learn about UPPER, LOWER, PROPER, LEFT, RIGHT, SEARCH, CONCATENATE functions in excel

Learn how to find outliers and missing values in Excel

Learn how to find standard deviation and percentiles in data using Excel

Learn about IF, IF ERROR, COUNTIF, SUMIF and AVERAGEIF functions in excel

Learn about using Color Bars and Color scales in excel

Learn applying VLOOKUP and HLOOKUP functions and merge datasets using them in excel

Learn how to merge datasets using Index and match

Learn making Pivot Tables and Pivot charts in excel

Learn making interactive dashboards in excel

Learn about What-if analysis in excel

Learn how to perform linear regression in excel

Learn about creating databases and tables in SQL

Learn about Numerical, string functions in SQL

Learn about filtering using LIKE operator in SQL

Learn about different DDL and DML commands

Learn about Joins and Subqueries in SQL

Learn connecting Python and MySQL

Learn about variables and data types in Python

Learn about loops and conditionals in python

Learn about Regular expressions and date time objects in Python

Learn about the Numpy and the Pandas library

Learn about creating different chart types using Tableau

Requirements

No prior knowledge required

Description

Welcome to the best online course on Data Analysis and Data Visualization.

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.

This course is a complete package for everyone wanting to pursue a career in data analysis.

This course gives you complete knowledge from basics to advanced level on Excel, Python, and SQL.

You will learn to create interactive dashboards using Excel as well as Tableau.

In this course, we will cover:-

Excel fundamental concepts such as Sorting, Filtering, Statistical, and text functions

Excel functions for data analysis

SQL- DDL, DML, and DQL commands

Python fundamental concepts including Object-oriented programming

Introduction to the NumPy and the pandas' library

Creating charts and dashboards using Tableau

And many more

This course is perfect for beginners who want to make their career in data analysis.

You will get to practice a lot of exercises and work on some exciting projects.

You will also have access to all the resources used in this course.

Enroll now and make the best use of this course.

Coupons

A discussion of the more complicated aspects of the C# language

What you’ll learn

Advanced Topics in C#

Apply sophisticated C# solutions to problems

Explore different programming styles and approaches

Requirements

Deep knowledge of the C# programming language

Familiarity with key .NET data structures and algorithms

Good command of modern IDEs and developer tools

Description

This course presents a collection of interesting/unusual case studies where C# is used to solve a particular problem. This course is 100% practical and demonstrates mainly the practical applications of C# in building solutions to common problems.

The main themes covered in this course are:

Numerics — the specifics of how to work with numeric types in .NET, with a focus on SIMD data types and operations.

Reflection — how to operate reflection mechanisms to investigate assemblies and types, how to create types and invoke their members. Also a look at the practical use of reflection for working with attributes.

Memory Management — a discussion of the latest C# features for high-performance computation, such as the passing of value types by reference, ref structs, and Span<T>.

Extension Methods — a seemingly simple mechanism that has plenty of advanced uses.

In addition, this course comes with a section dedicated to assorted topics that also showcase advanced uses of C#. These topics include:

Exploiting IDisposable — shows how you can abuse the IDisposable/using mechanism in order to dynamically define operations as pairs of start/end calls. Useful for things like simple performance measurement.

Continuation Passing Style — demonstrates how you can define complex algorithms in terms of sequentially invoked methods with customized return types indicating the result of the operation.

Local Inversion of Control shows that sometimes inversion of control happens at a local scale. Here we use extension methods to invert control on a bunch of different data types, providing useful functionality.

Beyond the Maybe Monad — even though C# introduced the ?. operator in order to chain null checks together, the classic monad implementation, based on extension methods, is still relevant, as it can also handle other scenarios.

Mnemonics — not so much a C# language feature but rather an interesting way of defining huge sets of similar code templates that can be expanded quickly to the code constructs you need the most.

Course Pre-Requisites

Good understanding of C#

Understanding of object-oriented programming (OOP)

Experience writing real-world C# applications

Course Organization

100% hands-on

Demonstrated either in Visual Studio or using the Kinetica rendering engine

Demos are single.CS files

Heavy use of IDE features

Ad-hoc use of 3rd-party packages

Download 

To download more courses like above course, visit the course catalog where you will get 1000+ paid available for free. You can get full course into your device with just a single click. To download this course follow the link above. 

Be a Professional Web Designer by understanding different Stages of Crafting modern and professional websites

What you’ll learn

Web Designing Professionally: Real-World Project

How to craft Web Design Ideas?

Web Designing Professionally

Different Web Design Stages

Structuring and Styling Web Pages

Implementing Design Principles and Colors for Modern Website Design

Making Websites Mobile Ready (Responsive) using Media Queries

Requirements

Basic Knowledge of HTML and CSS will be a plus point.

Enthusiasm to Learn Web Design

Description

In this course, you will learn to create a beautiful Responsive website using HTML and CSS only.

And we will use media queries to make it responsive (mobile-ready).

Once you’re comfortable with web designing using HTML and CSS only, using frameworks like Bootstrap will be so easy. It’ll be like a piece of cake.

Not only the technical part (HTML and CSS), I’m also explaining my web design process in detail.

And follow them to complete this project.

To complete any web design project, I divide the complete process into 4 different stages

1. Idea Mapping

In this stage, I listen to the clients and gather as much information (requirements) from them as possible.

Then, based on the information I do research. Look at some web designs on Pinterest and Behance.

Then I make a rough sketch (wireframe) of the web page on paper with pen or pencil.

And then design it (UI) using software like Photoshop or Sketch.

2. Structuring

In this stage, First I divide the conceptual web page design into different sections.

Then, Add HTML elements to each section based on their requirements.

3. Styling

In this stage, we make our structured web page more beautiful or presentable using CSS.

The web page will get its real colors, space, images, etc.

4. Making Mobile Ready

By this time, our web page is well designed and presentable. The only thing left is, to make it responsive or mobile-ready. To make it beautifully viewable in many different sizes, we will use media queries to make it responsive.

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Data Structures and Algorithms from Zero to Hero and Crack Top Companies 100+ Interview questions (Java Coding)

What you’ll learn

Java Data Structures and Algorithms Masterclass

Learn, implement, and use different Data Structures

Learn, implement and use different Algorithms

Become a better developer by mastering computer science fundamentals

Learn everything you need to ace difficult coding interviews

Cracking the Coding Interview with 100+ questions with explanations

Time and Space Complexity of Data Structures and Algorithms

Recursion

Big O

Dynamic Programming

Divide and Conquer Algorithms

Graph Algorithms

Greedy Algorithms

Requirements

Basic Java Programming skills

Description

Welcome to the Java Data Structures and Algorithms Masterclass, the most modern, and the most complete Data Structures and Algorithms in Java course on the internet.

At 44+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Java. You will see 100+ Interview Questions done at the top technology companies such as Apple, Amazon, Google, and Microsoft and how-to face Interviews with comprehensive visual explanatory video materials which will bring you closer to landing the tech job of your dreams!

Learning Java is one of the fastest ways to improve your career prospects as it is one of the most in-demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high-level programming languages.

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Why this course is so special and different from any other resource available online?

This course will take you from the very beginning to very complex and advanced topics in understanding Data Structures and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple, Amazon, Google, and Microsoft.

I cover everything you need to know about the technical interview process!

So whether you are interested in learning the top programming language in the world in-depth and interested in learning the fundamental Algorithms, Data Structures, and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!

And this is what you get by signing up today:

Lifetime access to 44+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money-back guarantee for 30 days!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms, increase your earning potential, or just want a job with more freedom, this is the right course for you!

The topics that are covered in this course.

Section 1 – Introduction

What are Data Structures?

What is an algorithm?

Why are Data Structures And Algorithms important?

Types of Data Structures

Types of Algorithms

Section 2 – Recursion

What is Recursion?

Why do we need recursion?

How does Recursion work?

Recursive vs Iterative Solutions

When to use/avoid Recursion?

How to write Recursion in 3 steps?

How to find Fibonacci numbers using Recursion?

Section 3 – Cracking Recursion Interview Questions

Question 1 – Sum of Digits

Question 2 – Power

Question 3 – Greatest Common Divisor

Question 4 – Decimal To Binary

Section 4 – Bonus CHALLENGING Recursion Problems (Exercises)

power

factorial

products array

recursiveRange

fib

reverse

palindrome

some recursive

flatten

capitalize first

nestedEvenSum

capitalize words

stringifyNumbers

collects things

Section 5 – Big O Notation

Analogy and Time Complexity

Big O, Big Theta, and Big Omega

Time complexity examples

Space Complexity

Drop the Constants and the nondominant terms

Add vs Multiply

How to measure the codes using Big O?

How to find time complexity for Recursive calls?

How to measure Recursive Algorithms that make multiple calls?

Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Product and Sum

Print Pairs

Print Unordered Pairs

Print Unordered Pairs 2 Arrays

Print Unordered Pairs 2 Arrays 100000 Units

Reverse

O(N)  Equivalents

Factorial Complexity

Fibonacci Complexity

Powers of 2

Section 7 – Arrays

What is an Array?

Types of Array

Arrays in Memory

Create an Array

Insertion Operation

Traversal Operation

Accessing an element of Array

Searching for an element in Array

Deleting an element from Array

Time and Space complexity of One Dimensional Array

One Dimensional Array Practice

Create Two Dimensional Array

Insertion – Two Dimensional Array

Accessing an element of Two Dimensional Array

Traversal – Two Dimensional Array

Searching for an element in Two Dimensional Array

Deletion – Two Dimensional Array

Time and Space complexity of Two Dimensional Array

When to use/avoid array

Section 8 – Cracking Array Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Question 1 – Missing Number

Question 2 – Pairs

Question 3 – Finding a number in an Array

Question 4 – Max product of two int

Question 5 – Is Unique

Question 6 – Permutation

Question 7 – Rotate Matrix

Section 9 – CHALLENGING Array Problems (Exercises)

Middle Function

2D Lists

Best Score

Missing Number

Duplicate Number

Pairs

Section 10 – Linked List

What is a Linked List?

Linked List vs Arrays

Types of Linked List

Linked List in the Memory

Creation of Singly Linked List

Insertion in Singly Linked List in Memory

Insertion in Singly Linked List Algorithm

Insertion Method in Singly Linked List

Traversal of Singly Linked List

Search for a value in Single Linked List

Deletion of a node from Singly Linked List

Deletion Method in Singly Linked List

Deletion of entire Singly Linked List

Time and Space Complexity of Singly Linked List

Section 11 – Circular Singly Linked List

Creation of Circular Singly Linked List

Insertion in Circular Singly Linked List

Insertion Algorithm in Circular Singly Linked List

Insertion method in Circular Singly Linked List

Traversal of Circular Singly Linked List

Searching a node in Circular Singly Linked List

Deletion of a node from Circular Singly Linked List

Deletion Algorithm in Circular Singly Linked List

A method in Circular Singly Linked List

Deletion of entire Circular Singly Linked List

Time and Space Complexity of Circular Singly Linked List

Section 12 – Doubly Linked List

Creation of Doubly Linked List

Insertion in Doubly Linked List

Insertion Algorithm in Doubly Linked List

Insertion Method in Doubly Linked List

Traversal of Doubly Linked List

Reverse Traversal of Doubly Linked List

Searching for a node in Doubly Linked List

Deletion of a node in Doubly Linked List

Deletion Algorithm in Doubly Linked List

Deletion Method in Doubly Linked List

Deletion of entire Doubly Linked List

Time and Space Complexity of Doubly Linked List

Section 13 – Circular Doubly Linked List

Creation of Circular Doubly Linked List

Insertion in Circular Doubly Linked List

Insertion Algorithm in Circular Doubly Linked List

Insertion Method in Circular Doubly Linked List

Traversal of Circular Doubly Linked List

Reverse Traversal of Circular Doubly Linked List

Search for a node in Circular Doubly Linked List

Delete a node from Circular Doubly Linked List

Deletion Algorithm in Circular Doubly Linked List

Deletion Method in Circular Doubly Linked List

Entire Circular Doubly Linked List

Time and Space Complexity of Circular Doubly Linked List

Time Complexity of Linked List vs Arrays

Section 14 – Cracking Linked List Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Linked List Class

Question 1 – Remove Dups

Question 2 – Return Kth to Last

Question 3 – Partition

Question 4 – Sum Linked Lists

Question 5 – Intersection

Section 15 – Stack

What is a Stack?

What and Why of Stack?

Stack Operations

Stack using Array vs Linked List

Stack Operations using Array (Create, isEmpty, isFull)

Stack Operations using Array (Push, Pop, Peek, Delete)

Time and Space Complexity of Stack using Array

Stack Operations using Linked List

Stack methods – Push, Pop, Peek, Delete, and isEmpty using Linked List

Time and Space Complexity of Stack using Linked List

When to Use/Avoid Stack

Stack Quiz

Section 16 – Queue

What is a Queue?

Linear Queue Operations using Array

Create, isFull, isEmpty, and enQueue methods using Linear Queue Array

Dequeue, Peek and Delete Methods using Linear Queue Array

Time and Space Complexity of Linear Queue using Array

Why Circular Queue?

Circular Queue Operations using Array

Create, Enqueue, isFull and isEmpty Methods in Circular Queue using Array

Dequeue, Peek and Delete Methods in Circular Queue using Array

Time and Space Complexity of Circular Queue using Array

Queue Operations using Linked List

Create, Enqueue and isEmpty Methods in Queue using Linked List

Dequeue, Peek and Delete Methods in Queue using Linked List

Time and Space Complexity of Queue using Linked List

Array vs Linked List Implementation

When to Use/Avoid Queue?

Section 17 – Cracking Stack and Queue Interview Questions (Amazon, Facebook, Apple, Microsoft)

Question 1 – Three in One

Question 2 – Stack Minimum

Question 3 – Stack of Plates

Question 4 – Queue via Stacks

Question 5 – Animal Shelter

Section 18 – Tree / Binary Tree

What is a Tree?

Why Tree?

Tree Terminology

How to create a basic tree in Java?

Binary Tree

Types of Binary Tree

Binary Tree Representation

Create Binary Tree (Linked List)

PreOrder Traversal Binary Tree (Linked List)

InOrder Traversal Binary Tree (Linked List)

PostOrder Traversal Binary Tree (Linked List)

LevelOrder Traversal Binary Tree (Linked List)

Searching for a node in Binary Tree (Linked List)

Inserting a node in Binary Tree (Linked List)

Delete a node from Binary Tree (Linked List)

Delete entire Binary Tree (Linked List)

Create Binary Tree (Array)

Insert a value Binary Tree (Array)

Search for a node in Binary Tree (Array)

PreOrder Traversal Binary Tree (Array)

InOrder Traversal Binary Tree (Array)

PostOrder Traversal Binary Tree (Array)

Level Order Traversal Binary Tree (Array)

Delete a node from Binary Tree (Array)

Entire Binary Tree (Array)

Linked List vs Python List Binary Tree

Section 19 – Binary Search Tree

What is a Binary Search Tree? Why do we need it?

Create a Binary Search Tree

Insert a node to BST

Traverse BST

Search in BST

Delete a node from BST

Delete entire BST

Time and Space complexity of BST

Section 20 – AVL Tree

What is an AVL Tree?

Why AVL Tree?

Common Operations on AVL Trees

Insert a node in AVL (Left Left Condition)

Insert a node in AVL (Left-Right Condition)

Insert a node in AVL (Right Right Condition)

Insert a node in AVL (Right Left Condition)

Insert a node in AVL (all together)

Insert a node in AVL (method)

Delete a node from AVL (LL, LR, RR, RL)

Delete a node from AVL (all together)

Delete a node from AVL (method)

Delete entire AVL

Time and Space complexity of AVL Tree

Section 21 – Binary Heap

What is Binary Heap? Why do we need it?

Common operations (Creation, Peek, sizeofheap) on Binary Heap

Insert a node in Binary Heap

Extract a node from Binary Heap

Delete entire Binary Heap

Time and space complexity of Binary Heap

Section 22 – Trie

What is a Trie? Why do we need it?

Common Operations on Trie (Creation)

Insert a string in Trie

Search for a string in Trie

Delete a string from Trie

Practical use of Trie

Section 23 – Hashing

What is Hashing? Why do we need it?

Hashing Terminology

Hash Functions

Types of Collision Resolution Techniques

Hash Table is Full

Pros and Cons of Resolution Techniques

Practical Use of Hashing

Hashing vs Other Data structures

Section 24 – Sort Algorithms

What is Sorting?

Types of Sorting

Sorting Terminologies

Bubble Sort

Selection Sort

Insertion Sort

Bucket Sort

Merge Sort

Quick Sort

Heap Sort

Comparison of Sorting Algorithms

Section 25 – Searching Algorithms

Introduction to Searching Algorithms

Linear Search

Linear Search in Python

Binary Search

Binary Search in Python

Time Complexity of Binary Search

Section 26 – Graph Algorithms

What is a Graph? Why Graph?

Graph Terminology

Types of Graph

Graph Representation

The graph in Java using Adjacency Matrix

The graph in Java using Adjacency List

Section 27 – Graph Traversal

Breadth-First Search Algorithm (BFS)

Breadth-First Search Algorithm (BFS) in Java – Adjacency Matrix

Breadth-First Search Algorithm (BFS) in Java – Adjacency List

Time Complexity of Breadth-First Search (BFS) Algorithm

Depth First Search (DFS) Algorithm

Depth First Search (DFS) Algorithm in Java – Adjacency List

Depth First Search (DFS) Algorithm in Java – Adjacency Matrix

Time Complexity of Depth First Search (DFS) Algorithm

BFS Traversal vs DFS Traversal

Section 28 – Topological Sort

What is Topological Sort?

Topological Sort Algorithm

Topological Sort using Adjacency List

Topological Sort using Adjacency Matrix

Time and Space Complexity of Topological Sort

Section 29 – Single Source Shortest Path Problem

what is Single Source Shortest Path Problem?

Breadth-First Search (BFS) for Single Source Shortest Path Problem (SSSPP)

BFS for SSSPP in Java using Adjacency List

BFS for SSSPP in Java using Adjacency Matrix

Time and Space Complexity of BFS for SSSPP

Why does BFS not work with Weighted Graph?

Why does DFS not work for SSSP?

Section 30 – Dijkstra’s Algorithm

Dijkstra’s Algorithm for SSSPP

Dijkstra’s Algorithm in Java – 1

Dijkstra’s Algorithm in Java – 2

Dijkstra’s Algorithm with Negative Cycle

Section 31 – Bellman-Ford Algorithm

Bellman-Ford Algorithm

Bellman-Ford Algorithm with negative cycle

Why does Bellman-Ford run V-1 times?

Bellman-Ford in Python

BFS vs Dijkstra vs Bellman Ford

Section 32 – All Pairs Shortest Path Problem

All pairs shortest path problem

Dry run for All pair shortest path

Section 33 – Floyd Warshall

Floyd Warshall Algorithm

Why Floyd Warshall?

Floyd Warshall with negative cycle,

Floyd Warshall in Java,

BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,

Section 34 – Minimum Spanning Tree

Minimum Spanning Tree,

Disjoint Set,

Disjoint Set in Java,

Section 35 – Kruskal’s and Prim’s Algorithms

Kruskal Algorithm,

Kruskal Algorithm in Python,

Prim’s Algorithm,

Prim’s Algorithm in Python,

Prim’s vs Kruskal

Section 36 – Cracking Graph and Tree Interview Questions (Amazon, Facebook, Apple, Microsoft)

Section 37 – Greedy Algorithms

What is a Greedy Algorithm?

Well known Greedy Algorithms

Activity Selection Problem

Activity Selection Problem in Python

Coin Change Problem

Coin Change Problem in Python

Fractional Knapsack Problem

Fractional Knapsack Problem in Python

Section 38 – Divide and Conquer Algorithms

What is a Divide and Conquer Algorithm?

Common Divide and Conquer algorithms

How to solve the Fibonacci series using the Divide and Conquer approach?

Number Factor

Number Factor in Java

House Robber

House Robber Problem in Java

Convert one string to another

Convert One String to another in Java

Zero One Knapsack problem

Zero One Knapsack problem in Java

Longest Common Sequence Problem

Longest Common Subsequence in Java

Longest Palindromic Subsequence Problem

Longest Palindromic Subsequence in Java

Minimum cost to reach the Last cell problem

Minimum Cost to reach the Last Cell in 2D array using Java

Number of Ways to reach the Last Cell with given Cost

Number of Ways to reach the Last Cell with given Cost in Java

Section 39 – Dynamic Programming

What is Dynamic Programming? (Overlapping property)

Where does the name of DC come from?

Top-Down with Memoization

Bottom-Up with Tabulation

Top-Down vs Bottom Up

Is Merge Sort Dynamic Programming?

Number Factor Problem using Dynamic Programming

Number Factor: Top-Down and Bottom-Up

House Robber Problem using Dynamic Programming

House Robber: Top-Down and Bottom-Up

Convert one string to another using Dynamic Programming

Convert String using Bottom Up

Zero One Knapsack using Dynamic Programming

Zero One Knapsack – Top Down

Zero One Knapsack – Bottom Up

Section 40 – CHALLENGING Dynamic Programming Problems

Longest repeated Subsequence Length problem

Longest Common Subsequence Length problem

Longest Common Subsequence  problem

Diff Utility

Shortest Common Subsequence  problem

Length of Longest Palindromic Subsequence

Subset Sum Problem

Egg Dropping Puzzle

Maximum Length Chain of Pairs

Section 41 – A Recipe for Problem Solving

Introduction

Step 1 – Understand the problem

Step 2 – Examples

Step 3 – Break it Down

Step 4 – Solve or Simplify

Step 5 – Look Back and Refactor

Section 41 – Wild West

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What you'll learn

Pick up Hundreds of Visitors from the Search Engines Every Day for FREE

Learn every one specialized SEO factors

Rank 1 in Google Search Engine

Help Clients mount their Search Position, interchange and Sales

Get indexed by search engines faster

Learn to take advantage of the preeminent free SEO tools across the total web

Learn how to optimize your website for Google, Bing & Yandex search engines

Have a fulfill sympathy of the main beliefs which govern the SEO world

Increase put tempo by Plug-ins and Other Proven Tactics

Discover 3 matchless Keyword examine Methods to comprehend further beleaguered passage (+BONUS)

Earn Relevant, Authoritative, limited & passing Backlinks with My inimitable logic (+BONUS)

Rank website on the in the beginning send a message of Google, Yahoo!, Bing

Learn how to optimize an article like a dream hence it ranks fighting fit in every the search engines. (+BONUS)

100 customs to dig up added Traffic

How To creep Your Competitors Search Engine Rankings

Avoid precarious SEO Myths That be capable of Hurt Your Business

Link Building

Rank a Website extreme In Google Search Listings

Become an skilled In SEO

Unique means to acquire exceptional articles in minute

Unique procedure for solid free organic passage

Requirements

General Computer skills

Basic WordPress Knowledge (Optional)

Description

SEO is one among the foremost value effective selling ways out there because it will deliver many targeted leads per day to your business for complimentary. Take this SEO coaching Course to follow an established step by step guide to rank #1 in Google. Everything is explained in plain English and every one tool counseled square measure free!

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Coupons

Learn how you can easily start an eCommerce Business in 2021 and Beyond

What you’ll learn

eCommerce Business Fast Start

How To Find An eCommerce Niche.

Learn how To Build A Store On WordPress.

How To Find Traffic Sources.

Requirements

No

Description

Hello and welcome.

There are so many opportunities out there because of the internet and that makes it so frustrating to see other people succeeding with a business after business in the online arena and having the lifestyle and freedom that they have always wished for.

Maybe you are looking for your first method that really works for building your first online income and business or maybe you already have some success and want to build a new income stream, either way, this course can be for you.

Have you ever wondered how these people actually are making it online? It’s simple and the answer is the same as for anything else in life: apply the methods that are proven to work and put in the actual work. That’s it, seems so simple right?… Yet so many people are falling into the trap of the “shiny object syndrome” and “the new hype thing” and are not focusing on using methods that work.

One of the most productive online business models that are out there is eCommerce.

As you probably already know, eCommerce is growing super fast every year.

Many entrepreneurs are getting into eCommerce and manage to build businesses that they would have never thought possible.

eCommerce is accessible almost to anyone who wants to start an online business.

So don’t hesitate any more and enroll in the course right now!

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Learn Python Programming from Scratch Examples, Quizzes, Exercises and more. Perfect for Beginners

What you'll learn

How to install python and jupyter notebook

Variables and data types

Strings

For and while loop

Conditional statements

Python data structures:- lists, tuples, sets, dictionaries, stack and queues

Time complexity

Different searching and sorting algorithms

Python functions

Recursions

Object Oriented programming in python

Regular expressions

Introduction to numpy and pandas library

Requirements

For taking up this course you just need to be enthusiastic and self confident.

You do not need to know anything in advance.

This course will take you through the very basics of python.

Description

Are you ready to master Python programming language.

Python is a powerful general-purpose language. If you want to become a future data scientist then python programing language is must.

It is the most preferred programming language for data scientists. it is easy to use language with a many available libraries.

Learning python programming will be the first step towards becoming a data scientist.

It is not only popular among data scientists but it also has a wide variety of well-paying jobs in many fields such as web development etc.

We have created this course for you that covers python from the most basic level to the advanced level.

This course will cover the following topics:-

1. Variables and data types

2. Strings

3. for and while loop

4. conditional statements

5. python data structures:- lists, tuples, sets, dictionaries, stack, and queues

6. Time complexity

7. different searching and sorting algorithms

8. Python functions

9. Recursions

10. Object Oriented programming in python

11. Regular expressions

12. Introduction to numpy and pandas library

There are lots and lots of exercises for you to practice and also a bonus project "Analyzing Trends from IPL matches".

In this project, you will perform Sports Analysis and find out interesting patterns and insights to understand the strategies to win the IPL match.

You will make use of all the topics read in this course.

You will also have access to all the resources used in this course.

Enroll now and become a python pro!!!

Coupons

Bitcoin & Cryptocurrency Trading From Novice to Master – Proven Technical Analysis System for Altcoin & Bitcoin Trading

What you’ll learn

Cryptocurrency & Bitcoin Trading Masterclass (NEW 2021)

Master Profitable Technical Analysis Setups to Boost Your Crypto Trading Profits by 80.35% With Real-World Examples Included!

Mastering Profitable Crypto Trading Setups

Understanding Cryptocurrency Trading Terminology

The Best Chart Time Frames for Crypto Trading

How To Trade Based on Support and Resistance Levels

How to Trade Based on Fibonacci Levels

Learn how to Trade Based on Bollinger Bands

How to Trade Based on Trend Following Indicators

How to Trade Based on Volume

Learn how to Use Risk Management Strategies to Protect Your Capital

Mastering Profitable Chart Patterns For Crypto Trading

How to Profit from Triangle Patterns

How to Trade Breakouts With Double Top and Bottom Patterns

Learn how to Trade Breakouts With Head and Shoulders Patterns

How to Trade Consolidations With Rectangle Patterns

How to Trade Consolidations With Bollinger Bands

Mastering Profitable Candlestick Patterns For Crypto Trading

How to Read and Analyze a Japanese Candlestick

How to Trade Price Action With Doji Candlesticks

Learn how to Trade Price Action With Hammer and Hanging Man Candlesticks

How to Trade Price Action With Inverted Hammer and Shooting Star Candlesticks

How to Trade Price Action With Three White Soldiers and Three Black Crows Candlesticks

Learn how to Trade Bitcoin (BTC)

How to Trade Ethereum (ETH)

How to Trade Litecoin (LTC)

Learn how to Trade Ripple (XRP)

How to Trade Tezos (XTZ)

How to Trade Tron (TRX)

Learn how to Trade Cardano (ADA)

How to Trade Stellar (XLM)

How to Trade Zcash (ZEC)

Learn how to Trade Chainlink (LINK)

And a lot more…

Requirements

A FREE TradingView Account for Chart Analysis

The strong desire to Getting Rich and Retiring Early

Passion and Enthusiasm for Learning

Don’t Skip Any Lessons (All lessons are important!)

No Fundamental or Technical Knowledge required to take this course!

Everyone can Learn to Become Successful in the Cryptocurrency Market!

Description

Attention Crypto Traders, Investors & Wealth Seekers!

Finally, You’ll Discover All Profitable Technical Analysis Setups & Master The Art of Trading Bitcoin & Altcoin! Get Results or Your Money Back!

The Cryptocurrency Trading Masterclass is designed to bring you from knowing nothing about cryptocurrency to knowing just everything it takes to become a master trader.

In this course, you will learn how to boost your crypto trading profits by up to 80.35% by providing you with a proven ‘copy & paste’ technical analysis system for analyzing the crypto market.

You’ll also learn a lot about trading psychology, risk management, and how to trade over 30+ best performing technical indicators, chart patterns, and candlesticks that work perfectly well for crypto trading.

What you’re going to learn in this course can be applied for trading securities in any freely traded markets around the world. These include ETFs, forex, cryptocurrencies, stocks, options, and even bonds.

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Build a multitasking operating system and kernel with an interactive shell!

What you’ll learn

Developing a Multithreaded Kernel From Scratch! Course

How to create a kernel from scratch

How to create a multi-tasking kernel

Learn how to handle malicious or problematic programs in your operating system. Terminating them if they misbehave.

How memory works in computers

The difference between kernel land, userland, and the protection rings that make up modern computing

Kernel design patterns used by the Linux kernel itself

You will learn all about virtual memory and how to map virtual addresses to physical addresses

You will learn how to make the kernel understand processes and tasks

Learn how to load ELF files

You will learn how to debug disassembled machine code

You will learn how to debug your kernel in an emulator with GDB.

Requirements

You must know the C programming language

It is wise to have some basic knowledge of the assembly language

You should have a Linux operating system, free to install from the internet (We use Ubuntu in this course)

Description

This course is designed to teach you how to create your very own multitasking operating system and kernel from scratch. It is assumed you have no experience in programming kernels and you are taught from the ground up.

Real Mode Development

Real mode is a legacy mode in all Intel processors that causes the processor to start in a legacy state, it performs as the old 8086 Intel processors did back in the way.

In the “Real Mode Development” section of the course we start by learning about the boot process and how memory works, we then move on to creating our very own boot loader that we test on our real machine! This boot loader will output a simple “Hello World!” message to the screen and we write this boot loader in purely assembly language.

In this section, we also read a sector(512 bytes) from the hard disk and learn all about interrupts in real mode and how to create them.

This section gives you a nice taster into kernel development, without overwhelming you with information. You are taught the basics and enough about the legacy processors to be able to move forward to more modern kernel development further into this course.

Protected Mode Development

In this section, we create a 32-bit multi-tasking kernel that has the FAT16 filesystem. Our kernel will use Intel’s built-in memory protection and security mechanisms that allow us to instruct the processor to protect our kernel and prevent user programs from damaging it.

We create our own virtual filesystem layer that uses a design that is similar to the Linux kernel. This clever abstraction that will be taught to you was inspired by the instructor’s knowledge of writing Linux kernel drivers in his past.

Developing a Multithreaded Kernel From Scratch! Course

You are taught about the design of the FAT16 filesystem and how the FAT16 filesystem is broken down into clusters and that they can chain together. We then implement our very own FAT16 filesystem driver allowing files to be born!

We implement functionality for tasks and processes and write our own keyboard drivers.

Memory management is essential in any operating system and kernel.

Let us not forget that we even create an ELF file loader, we will compile all our operating systems programs into ELF files and allow the loading of binary programs or ELF programs. ELF files contain a lot of information that describes our program for example where our program should be loaded into memory and the different sections of the program.

By the end of this course, you will have a fully functioning 32-bit multi-tasking kernel that can have many processes and tasks running at the same time. You will have a working shell that we can use as well.

Assembly language bonus

This is a bonus section designed to bring your assembly skills up to scratch should you struggle a little bit with the assembly language in this course. It’s however advised you come to this course with experience in assembly language, we do use it, and its importance. Never the less if you want to take a chance on this course with no assembly experience then this section will help point you in the right direction so you’re able to take what you learned and apply it to the kernel.

Taught by an expert that that has created Linux kernel modules professionally in the workplace.

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To download the more paid courses for free visit the course catalog where you get 1000+ paid courses for free without investing money. To download above paid course for free visit the link below.