Embark on a transformative "100 Days of Machine Learning" journey. This curated repository guides enthusiasts through a hands-on approach, covering fundamental ML concepts, algorithms, and applications. Each day, engage in theoretical insights, practical coding exercises, and real-world projects. Balance theory with hands-on experience.

tracebloc data pipeline for training/test dataset setup

This is a Movie Recommendation System that suggests movies to users based on their preferences. The system uses machine learning techniques to recommend similar movies.

A small library with Pandas-like api used for function ops execution and data transforms.

In this ML project i have used Natural language processing (NLP) techniques and other data preprocessing techniques to feed my Machine Learning Algorithm a good data, and deploy it using flask.

a impactful repository of predicting , analyzing the real-time groundwater levels , allowing simplified and modern way for researchers to analyze ground water levels .

Create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

Improving credit risk model using Machine learning techniques. We use a host of ml models and neural network to solve the issue.

This is a simple ANN deep learning classification technique

An end-to-end ML project that predicts airline passenger satisfaction using a Random Forest Classifier. Covers EDA, preprocessing, model training (96% accuracy), and a live Streamlit app with 22 flight experience features.

A CNN-based handwritten digit recognition system trained on the MNIST dataset achieving 99% accuracy, deployed using Streamlit for real-time digit prediction.

Data Science Projects

End-to-end XGBoost regression pipeline for predicting California housing prices, with a Streamlit web app for real-time predictions.

AI-powered stock insights for Indian (NSE) stocks. Features machine learning predictions with 99 technical + fundamental features, real-time data from Yahoo Finance, and a modern React frontend.

A project on visualizing and analyzing sales, revenue, and profit data across different markets from 2017 to 2020(India).

A collection of hands-on solutions for checkpoints in a machine learning course. Covers core ML concepts such as data preprocessing, model training, and evaluation using Scikit-learn, with practical implementation on various datasets.

E-commerce Return Rate Reduction Analysis – Data-driven project using SQL, Python (Logistic Regression), and Power BI to analyze return patterns, predict customer behavior, and provide actionable insights to reduce product returns.

A Machine Learning web application that predicts a student's Maths score based on demographic and academic input features.

This project focuses on detecting and localizing copy-move forgery in digital images using Python. Deep learning techniques are applied to identify duplicated regions within an image. The model highlights tampered areas, helping verify the image's authenticity.

A production-ready Email Spam Classifier built using Machine Learning and Natural Language Processing (NLP). This project classifies emails as Spam or Not Spam (Ham) using a clean, modular, and testable codebase.