Explore live open-source projects and AI models.

Pybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot.... Read more

An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artific... Read more

Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)

The Project "Exploratory Data Analysis and Prediction of Lung Cancer" is aim towards: finding the insights from the dataset, so that we can create a concrete conclusion out of it and to perform exploratory data analysis. Also we are going to apply machine learning model to predict the lung cancer... Read more

A data-driven approach to predicting football match outcomes using advanced machine learning techniques. This project integrates various algorithms to forecast game results, providing insights for sports betting, team performance analysis, and sports enthusiasts.

This project walks you on how to create a twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of the people towards various topics. For this project, we will be analysing the sentiment of people towards Pfizer vaccines. We will be u... Read more

This project uses synthetic HR data to predict employee attrition through data analysis and machine learning. It explores factors influencing employee turnover and helps HR departments make data-driven retention strategies.

Stock Market Trend Prediction using sentiment analysis Leveraging machine learning and sentiment analysis, we accurately forecast stock market trends. Our project combines advanced algorithms like BERT and Naïve Bayes with sentiment analysis from Twitter and other sources. By analyzing sentiment... Read more

This project generates synthetic ADHD and control patient data, applying machine learning and statistical analysis to uncover behavioral patterns, visualize differences, and evaluate predictive models for cognitive and activity-related traits.

RFD Classification Machine Learning project developed using Python and Jupyter Notebook. This project includes data preprocessing, exploratory data analysis, feature engineering, and implementation of multiple classification algorithms such as Logistic Regression, Random Forest, SVM, KNN, and Nai... Read more