Machine Learning Projects

A collection of all Machine Learning Projects that I made throughout my journey of exploring Data Science. This blog includes all types of projects starting from easy projects to hard projects related to Machine Learning with source codes.

Deep Learning Projects

A collection of all Deep Learning Projects that I made throughout my journey of exploring Data Science. This blog includes all types of projects starting from easy projects to hard projects related to Deep Learning with source codes.

Computer Vision Projects

A collection of all Computer Vision Projects that I made throughout my journey of exploring Data Science. This blog includes all types of projects starting from easy projects to hard projects related to Computer Vision with source codes.

Flask Projects

A collection of all Flask Projects that I made throughout my journey of exploring Data Science. This blog includes all types of projects starting from easy projects to hard projects related to Flask with source codes.

NLP Projects

A collection of all Natural Language Processing Projects that I made throughout my journey of exploring Data Science. This blog includes all types of projects starting from easy projects to hard projects related to Natural Language Processing with source codes.

AWS

A collection of AWS tutorials that will help you simplify these complex AWS deployments by simply following these step-by-step guides I have curated especially so that you never have to go online and search 10s of blogs again and try out different things.

BLOG

A collection of some useful Blogs about installations, resources, and many more things that will help you in your Data Science journey.


Machine learning projects with source code

1. HealthCure – medical project – 7 disease detections

This is a project that I chose as my college’s final year major project and guess what, it went pretty well. This project uses various advanced techniques like CNNs, VGGs, XGBoost, etc for performing 7 disease detections. This is one of the best Machine learning projects.

Main Page

Covid-19 detection Machine learning projects with source code in Python

Results

Covid-19 detection Machine learning projects with source code in Python

These 7 detections are Covid Detection, Alzheimer Detection, Brain Tumor Detection, Breast Cancer Detection, Pneumonia Detection, Heart Disease Detection, and Diabetes Detection.

This project can be your Machine learning project with source code for the final year. I myself made this my final year major project.

2. Object Detection using SSD

In this blog, we will use Single Shot Detections for performing Object Detection using SSD in the simplest way possible. SSDs are very fast in Object Detection when compared to those big boys like R-CNN or Fast R-CNN, etc. This is going to be a very fun project with endless use cases.

This project can be your Machine learning project with source code for the final year.

3. Pedestrian Detection using HOGs

In this project, we will perform pedestrian detection using HOG short for Histogram for Gradients. HOGs are great feature detectors and can also be used for object detection with SVM but due to many other State of the Art object detection algorithms like YOLO, and SSD, present out there, we don’t use HOGs much for object detection.

4. Social Distancing using YOLOv3 – object detection

This is also a very advanced project in which I used object detection on a camera’s live feed or video to check if Social Distancing is being followed or not in a locality. This project also has endless future scopes.

Machine learning projects with source code

This project can be your Machine learning project with source code for the final year.

5. Face Recognition based Attendance System

As the name says this project takes attendance using biometrics (in this case face) and is one of the most famous projects amongst college students out there.

6. Weight Category prediction using Random Forest

In this project, I performed the weight category prediction of a person given height, weight, and gender with the help of the Random Forest algorithm.

7. IPL Score Prediction with Flask app

In this project, I built an IPL Score Prediction model using Ridge Regression which is just an upgraded form of Linear Regression. We have the IPL data from 2008 to 2017. We will also be building a beautiful-looking interactive Flask model.

8. Flight Price Prediction with Flask app

So guys this is yet another one of the most favorite projects of mine. In this blog, I implemented a Flight Price Prediction model using different techniques and also I performed very frequent data visualizations to better understand our data. 

9. House Price Prediction – USA Housing Data

House Price Prediction Project proves to be the Hello World of the Machine Learning world. It is a very easy project which simply uses Linear Regression to predict house prices. This is going to be a very short project.

10. Flipkart Reviews extraction and sentiment analysis with Flask app

This is a very interesting blog where we will be performing Flipkart Reviews extraction and sentiment analysis and also we will be building a beautiful-looking Flask app to show everything. 

11. Stock Sentiment Analysis using headlines

In this project, we will see that how we can perform stock sentiment analysis using the headlines of a newspaper. We will predict if the stock market will go up or down. This is a simple but very interesting project due to its prediction power.

12. Most dominant colors in an image using KMeans clustering

In this blog, we will find the most dominant colors in an image using the KMeans clustering algorithm, this is a very interesting project and personally one of my favorites because of its simplicity and power.

13. Wine Quality Prediction

In this blog, we will build a simple Wine Quality Prediction model using the Random Forest algorithm.

14. Face and eye detection using Haarcascades

A simple project in which we will see how we can perform face and eye detection in cv2 using Haarcascades. This is going to be a very easy and fun project. Remember it’s only detection and not recognition.

15. Bank Note Authentication using Random Forest

In this blog, we will see how we can perform Bank Note Authentication or how we can classify Bank Notes into fake or authentic classes based on numeric features like variance, skewness, kurtosis, and entropy.

16. Movie Recommendation System

Basically, I have performed Movie Recommendation System using two different ways. In a 1st way, we will use a user-movie matrix to find similarities.

The simple intuition of this 2nd way is that we will be combining the main features like the cast, director, genres, etc., and observe similarities between them because most of the time similar directors make similar movies, and similar casts like to perform in some similar specific types of movies.

17. Credit Card Fraud Detection

In this blog, we will be building a Credit Card Fraud Detection model which will be very simple and easy to understand. This is a very basic machine learning project which students basically do in their starting phase of machine learning. 

18. Spam Detection using Count Vectorizer

In this blog, we will see that how we can perform Spam detection in the simplest way possible with the help of the Count Vectorizer and Multinomial Naive Bayes algorithm. 

19. House Tax Prediction using Random Forest – Boston Housing Data

We will use the Random Forest algorithm to predict house tax. This is a simple project. I have used Boston Housing Data for this use case.