This repository contains the full implementation of a machine learning pipeline developed for the Kaggle competition Loan Approval Prediction (Playground Series - Season 4, Episode 10). Our goal is to predict whether a loan will be approved based on applicant information and credit history, leveraging state-of-the-art ML models and feature engineer

'Machine Learning with Python' Coursera course by 'IBM'. Repository contains code, quiz answers and dataset for the course.

This course is offered by IBM in coursera and it's contains final week's assignment(week-06).

Answer keys for complete course - Machine Learning With Python by IBM on Coursera

The is a project from the freeCodeCamp in the Machine Learning with Python course.

Rock Paper Scissors is a Python project where the goal is to create a bot that competes against four different opponents in a series of games. The bot must win at least 60% of the time against each opponent.

All my projects

The is a project from the freeCodeCamp in the Machine Learning with Python course.

The is a project from the freeCodeCamp in the Machine Learning with Python course.

The Book Recommendation Engine uses K-Nearest Neighbors (KNN) to suggest books similar to a given one based on user ratings.

The Cat and Dog Image Classifier is a machine learning project where the goal is to classify images as either cats or dogs using a convolutional neural network (CNN).

The Linear Regression Health Costs Calculator predicts healthcare expenses using regression. It processes a dataset with individual details and healthcare costs, applying an 80/20 train-test split.

The Neural Network SMS Text Classifier uses machine learning to classify SMS messages as "ham" or "spam." The model, trained on a labeled dataset, predicts the likelihood of a message being spam and labels it accordingly.

The is a project from the freeCodeCamp in the Machine Learning with Python course.

The is a project from the freeCodeCamp in the Machine Learning with Python course.