Python notebooks for the tutorial paper on feature selection

A game theoretic approach to explain the output of any machine learning model.

You will find all about Machine Learning, data visualization and ANN algorithms

Google IT Automation with Python Professional Certificate - Practice files

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Data Science Using Python

An original implementation of gradient boosting from scratch

Worked with large datasets (from IMDb), created a local database & conducted an exploratory data analysis.

Complete list of my published projects

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Created a wep application that lets users estimate the selling price of used cars using a regression model and scraped data

The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using var…

Lab files for AI-102 - AI Engineer

Graph-based genetic algorithm

Show use case of SVM model with Genetic algorithm on Titanic

This work utilize farm data and machine learning approaches for yield production in farms with missing data, outlier and categorical features.

Scripts for preparing, running and processing MD and MC trajectories and for running the structure-based 'bootstrap' to gauge the robustness of structural phylogenetic relationships.

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.