AI-4AI/African-Institute-For-Artificial-Intelligence---AI-Masterclass

# African Institute For Artificial Intelligence - AI Masterclass Welcome to the African Institute For Artificial Intelligence - AI Masterclass! This repository is designed to accompany the machine learning tutorial Master class at the African institute for Artificial Intelligence. Below, you'll find a breakdown of the topics covered in this repository along with instructions on how to use it effectively. ## Table of Contents 1. Introduction to Machine Learning 2. Python Basics 3. NumPy and Pandas Basics 4. Supervised Learning 5. Training Linear Regression 6. Training Classification Model 7. Unsupervised Learning 8. Project Project Project ## Introduction to Machine Learning In this section, you will learn about the fundamental concepts of machine learning including the perceptron, perceptron algorithm, different types of learning (supervised, unsupervised, reinforcement), and various applications of machine learning. ## Python Basics Here, you will get familiar with Python basics such as variables, data structures (lists, dictionaries) and control structures (if, else, loops). This knowledge is essential for implementing machine learning algorithms in Python. ## NumPy and Pandas Basics NumPy and Pandas are two essential libraries for data manipulation and analysis in Python. In this section, you'll learn about arrays, matrices, and basic operations in NumPy, as well as data manipulation using Pandas DataFrames. ## Supervised Learning This section focuses on supervised learning techniques including regression (simple linear regression, multiple linear regression, polynomial regression) and classification (binary classification, multi-class classification). ## Training Linear Regression Here, you'll delve into the details of training linear regression models. Topics covered include data preprocessing (data visualization, data cleaning, normalization, handling missing data), model building (forward propagation and backpropagation), handling bias and variance, a …