Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

Joblib-like interface for parallel GPU computations (e.g. data preprocessing)

A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform

A GitHub WebCrawler

A Regression Model that predicts a fish's weight based on its specie, length, width & height.

PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples

🎃Kaggle-Comptetion-Titanic-Dataset(Codeperfectplus)🏆

Primary aim of this project is to build machine learning model that give the should able to predict the sales of the different stores of Big Mart according to the provided dataset.

RandomForest Regressor Model ML for predicting Price of House.

Machine Learning Project for recommendations of music genre based on age and gender

Predict the Winning Horse with Supervised Learning (Lucky to have 100% accuracy on small test data)

A bot designed to answer live trivia game questions.

Anti Spam Filter, a spam filter 🗃️ which uses a model made out of MultinomialNB algorithm 👈 from scikit-learn 🐍 to classify spam and complaints.

An IA model that detects whether a given verse is from the Bible or not

A basic malware detector using Machine Learning

Laptop price prediction model using XGB, Ridge, Lasso and SciKit-learn's Linear Regression. In the end, I deployed the best one using Joblib and Gradio.

A credit card fraud detection machine learning model