12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Predicting the winner of a League of Legends Game at the 10-minute Mark

Support Vector Machines with Python Project

Capstone Project - California Housing Price Prediction: Used linear, DT, ensemble regression techniques (Random Forests), feature scaling and feature engineering using Principal component Analysis …

I developed a custom Named Entity Recognition (NER) model using spaCy. The process involved manually annotating data, training the model, and evaluating its performance on unseen text. This projec…

This project leverages machine learning to classify champions in the popular game League of Legends based on their attributes. The model predicts a champion's class (e.g., Assassin, Tank, Mage) usi…

This project focuses on creating a personalized workout planner using machine learning, specifically the k-Nearest Neighbors (k-NN) algorithm. The goal is to recommend tailored workout routines bas…

First machine learning model using Melbourne Housing dataset

2nd house price predictor using linear regression

PyTorch-based deep learning model for classifying ocular diseases from retinal fundus images. The model leverages a custom Convolutional Neural Network (CNN) architecture to achieve high accuracy i…

This project demonstrates the implementation of a spam email classifier using logistic regression and TF-IDF