#csv files

How to start programming? Step By Step Guide

Programming is the key to getting success in a tech carrier, when I talk about programming I mean efficient programming. It means the coding which is time and space-efficient. How can we make programs which is time and space-efficient by learning data structure and Algorithms? So that’s why data structure and algorithms are so much required for preparing for interviews. Now there is a huge list…

What is Dimensionality Reduction? Overview, Objectives, and Popular Techniques

Table of Contents What is Dimensionality ReductionWhy Dimensionality Reduction is ImportantDimensionality Reduction Methods and ApproachesDimensionality Reduction TechniquesDimensionality Reduction Example Learning by machine is not an easy task. Okay, so that’s a lesser statement. Artificial Intelligence and machine learning represent a major step in making computers think like humans, but…

All Cheat Sheets related to Machine Learning

Here we’re going to provide Cheat sheets for machine learning are plentiful. Quality, concise technical cheat sheets, on the other hand… not so much. A good set of resources covering theoretical machine learning concepts would be invaluable. Shervine Amidi, graduate student at Stanford, and Afshine Amidi, of MIT and Uber, have created just such a set of resources. The VIP cheat sheets, as…

Top 10 Machine Learning Tools You need to Know

Scikit-Learn It is a free software machine learning library for python programming language. It is a simple and efficient tool for data mining and data analysis. Built on NumPy, SciPy and Matplotlib. KNIME KNIME( Konstanz Information Miner), is a free and open-source data analytics, reporting and integration platform built for powerful analytics on a GUI based workflow. KNIME integrates…

Feature engineering and SGDReg with Regularization With Students Performance Data

All Need Imports for the data import pandas as pd pd.options.display.max_colwidth = 80 import numpy as np import matplotlib.pyplot as plt %matplotlib inline from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score from sklearn.preprocessing import StandardScaler from sklearn.linear_model import SGDRegressor from sklearn.svm import SVC # SVM model with…

Web Scraping For COVID-19

Introduction: So as you have seen what is web scraping and how to scrape data from Flipkart, now we will dive more into various websites to scrape data so that we can work on the data scraped for analysis. So, with this, we will get started with writing ✍️ our own code for scraping the data for COVID-19 data from the below website…

A Data Science Framework: To Achieve 99% Accuracy :Part 3

Part 3-Model Implementation This post is in continuation of previous post. If you have not read it yet I recommend you to visit here Step 5: Model Data Data Science is a multi-disciplinary field between mathematics (i.e. statistics, linear algebra, etc.), computer science (i.e. programming languages, computer systems, etc.) and business management (i.e. communication, subject-matter knowledge,…

Introduction to Ensembling /Stacking in Python | Part 2

This post is in continuation of previous post. If you have not read it yet I recommend you to visit here Feature importance generated from the different classifiers Now having learned our the first-level classifiers, we can utilize a very nifty feature of the Sklearn models and that is to output the importance of the various features in the training and test sets with one very simple line of…