8 Articles and Project Builds to learn Machine Learning Models.
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
IBM Data Science Capstone Project from Coursera
This project is part of my Machine Learning training at NTI. It focuses on building a predictive model using the UCI Heart Disease Dataset to determine whether a patient is likely to have heart disease based on clinical features.
This project focuses on analyzing and classifying loan applications using the Credit Risk dataset. It applies data analysis and machine learning techniques and deep learning to predict loan approval based on applicants' financial factors.
Created a machine learning project in Jupyter Notebook using Python that trains and tests four models, Linear Regression, Logistic Regression, Decision Tree, and Random Forest, to predict song popularity based on features like tempo, genre, lyrical content, and release year, while visualizing feature impact and results.
Domain: E-Commerce; Random Forest Regressor Model, Classification and Descion-tree
3 different machine learning algorithms based crop recommendation system
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