tracebloc data pipeline for training/test dataset setup

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.

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.

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

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

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.

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

This is a simple ANN deep learning classification technique

This repository contains an in-depth analysis of historical weather data from Szeged, Hungary. The project uses Python to clean and process data, generate insightful visualizations, and identify patterns and correlations in weather parameters such as temperature, humidity, and precipitation.

Data Science Projects

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 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.

The Traffic Accident Prediction project aims to develop a system that predicts accident likelihood and severity using historical data. It provides insights to authorities and the public to enhance road safety and reduce accident costs.

Forecasted Airbnb 'Super host' status in Chicago with an 84% accuracy using Logistic Regression and assessed potential returns on investment employing the Herfindahl Index for strategic investment insights

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.

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.

An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.