Machine Learning Algorithms and Projects Repository

Welcome to the Machine Learning Algorithms and Projects Repository! This repository contains a collection of machine learning algorithms implemented in Python, along with some end-to-end machine learning projects.

Contents

1. Algorithms we will use:

   • Linear Regression
   • Logistic Regression
   • Decision Trees
   • Random Forest
   • K-Nearest Neighbors
   • Support Vector Machines
   • K-Means Clustering
   • Principal Component Analysis (PCA)
   • Neural Networks

2. Projects

   • [California house price prediction]
   • [Tashkent house price prediction]
   • [Credit status check]
   • [Diabetes Diagnosis]
   • [Cancer check Status]
   • [Customer Churn]
   • [Customer Clustering - Unsupervised learning ML]

The code in this repository is written in Python. You need the following libraries to run the scripts:

• NumPy
• Pandas
• Matplotlib
• Scikit-learn

You can install these libraries using pip:

pip install numpy pandas matplotlib scikit-learn