🤖 Machine Learning with Python

A collection of Machine Learning algorithms and techniques implemented using Python. This repository contains examples and projects using popular ML libraries such as Scikit-Learn, Pandas, NumPy, and Matplotlib.

📌 Features

✅ Implementation of key ML algorithms
✅ Exploratory Data Analysis (EDA)
✅ Supervised and Unsupervised Learning models
✅ Data visualization with Matplotlib & Seaborn
✅ Well-structured and documented code

🚀 Algorithms Included

• Supervised Learning

  • K-Nearest Neighbors (KNN)
  • Decision Trees
  • Random Forest
  • Support Vector Machines (SVM)
  • Linear & Logistic Regression

• Unsupervised Learning

  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)

🛠️ Technologies Used

• Python 🐍
• Scikit-Learn – ML models
• Pandas – Data manipulation
• NumPy – Numerical computing
• Matplotlib & Seaborn – Data visualization

🚀 Getting Started

Installation

1. Clone the repository:

   git clone https://github.com/Danilotolini/machine-learning-python.git
   cd machine-learning-python