#machinelearningprojectsinpython

Machine Learning (ML) technology is the process of making machines more human-like in their behavior. It helps them to take decisions by themselves. Machine learning can apply to a large number of industries and applications also. This makes them more efficient and also intelligent. Today it is an essential skill for all ambitious data analysts and data scientists. So, if you are a beginner, the most important thing you need to do is choose some best Machine Learning Project Topics and work on them. Project based learning make students industry ready.

Why Machine Learning is Important?

Machine learning is very much important nowadays. In fact the main reason is that it can solve real-world problems which are complicating for humans. For all businesses, data is their lifeblood. Therefore data-driven decisions are important for business organizations. Machine learning can also be an important factor for businesses in analyzing customer data. Thus they can take crucial decisions that keep company ahead of the competition.

Where can you find the best Machine Learning Project Topics?

Pantech eLearning Chennai is an Online Learning Service provider. We are providing some latest Project Topics on Machine Learning. The Machine Learning Project Topics will help you to learn and understand the technology deeply to build a successful career.

Given below is the Top 10 Machine Learning Project Topics we are providing:

Fake profile identification

In this project, we came up with a framework through which we can detect a fake profile using machine learning algorithms so that the social life of people becomes secure.

Hand Gesture Recognition

The intention of this project is to discuss a novel approach of hand gesture recognition depends on detection of some shape base features.

Student Performance analysis

After surveying the previously use factors for predicting the student’s academic performance, we pick the most relevant attributes based on their rationale and also correlation with the academic performance.

Ground water level Prediction

Models for prediction of water table depth were developed depends on Artificial Neural Networks (ANN) with different combinations of hydrological parameters.

Election Results prediction based on Twitter data

Here we collect all the twitter data. Using the data we extract all the future and getting more numbers data’s also. So we apply the Logistic regression model to classify the values and we get the more accuracy score like above 80%.

Fake News detection using machine learning

This Project comes up with the applications of Random Forest techniques for detecting the fake misleading news stories that comes from the non-reputable sources.

Heart Disease Detection using Big Data

In our project, proposed system is accuracy prediction of heart disease problem in health care application. Easier to analyze the scalability of health care big data and also less time consumption with efficiency of data in heart disease.

Exam Malpractice Detection

The paper proposes a workflow for the automatic detection of anomalous behaviour in an examination hall, towards the automated proctoring of tests in classes.

Intrusion Detection using Classification

Intrusion detection system (IDS) is a system that monitors and analyzes data to detect any intrusion in the system or network. This project also introduce Spark‑Chi‑SVM model for intrusion detection.

Hate speech Detection

This aims to classify textual content into non-hate or hate speech, in which case the method may also identify the targeting characteristics (i.e., types of hate, such as race, and religion) in the hate speech.

Machine learning is the study of computer algorithms that allow computer programs to automatically improve through experience

As Artificial Intelligence (AI) continues to progress rapidly in 2020, achieving mastery over Machine Learning (ML) is becoming increasingly important for all the players in this field. This is because both AI and ML complement each other. So, if you are a beginner, the best thing you can do is work on some Machine Learning projects.

It can be tough to know where to begin, so it’s always a good idea to seek guidance and inspiration from others. In this blog, we’ll share real-world examples of machine learning projects that will help you understand what a completed project should look like.

We are providing some interesting Machine Learning Projects

Here are some of the Projects in Machine Learning that we are offering

Student Performance Prediction

Prediction of Soil Surface Humidity

Extracting Phishing Website

Sentiment Analysis of Medicine Reviews

SAR Image Fusion

Object detection

Text Based Image Retrieval

You can visit our website to find more project topics.

One of the biggest advantages of machine learning algorithms is their ability to improve over time. Machine learning technology typically improves efficiency and accuracy thanks to the ever-increasing amounts of data that are processed. This technology allows for instantaneous adaptation, without the need for human intervention. This is one of the primary benefits of machine learning in a practical sense.

Learning through projects is the best investment that you are going to make. These project ideas enable you to grow and enhance your machine learning skills rapidly.