Machine Learning Projects

Description

This repository contains projects completed as part of a Udemy course on Zero to Mastery Machine Learning. The projects cover various topics and concepts taught throughout the course.

Table of Contents

• Description
• Technologies Used
• Methodologies
• Projects

Technologies Used

• Python
• scikit-learn
• pandas
• numpy
• matplotlib
• Jupyter notebooks
• Anaconda

Methodologies

• Data Preprocessing
• Data Visualization
• Data Analysis
• Classification Models
• Regression Models
• Feature Importance
• Hyperparameter Tuning

Projects

1. Heart Disease Classification: Predicts whether or not someone has heart disease based on their medical attributes.

   • Models: K Neighbors Classification, Logistic Regression, Random Forest

2. Kaggle Competition Bulldozer Price Prediction: Predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for.

   • Models: RandomizedSearchCV, RandomForestRegressor