Machine Learning Basics with Python

This project serves as an introduction to machine learning using Python, focusing on the fundamental concepts, tools, and libraries.

Overview

This repository contains resources and examples for beginners learning the basics of machine learning with Python. The project covers:

• Introduction to Machine Learning concepts
• Utilizing scikit-learn for machine learning algorithms
• Anaconda setup and management
• Hands-on practice using Jupyter Notebook
• Different machine learning approaches (supervised, unsupervised, etc.)

Getting Started

Prerequisites

Make sure you have Anaconda installed. If not, download and install Anaconda from Anaconda's official website.