/Beginner-Machine-Learning-in-Python-ChatGPT-Bonus-2023

An introduction into the world of machine learning with a comprehensive Udemy online course, designed for beginners, to learn Python programming fundamentals and gain valuable insights into the practical applications of machine learning.

Primary LanguageJupyter Notebook

Beginner-Machine-Learning-in-Python-ChatGPT-Bonus-2023

This course aims to help build a solid foundation in Machine Learning using various tools such as Linear Regression, Logistic Regression and K-Means Clustering in Python.

Online Course

This repository exhibits the projects completed throughout the "Beginner Machine Learning in Python + ChatGPT Bonus" course, which can be found here: [2023]https://www.udemy.com/course/machine-learning-python-level-1/

Course Components

This course has 3 main sections:

  1. Regression Learned to predict continuous variables and covered foundational concepts like Simple and Multiple Linear Regression, Ordinary Least Squares, Testing your Model, R-Squared and Adjusted R-Squared.

  2. Classification Learned Logistic Regression, which is by far the most popular model for Classification. Also learned about Maximum Likelihood, Feature Scaling, The Confusion Matrix, Accuracy Ratios.

  3. Clustering Investigated the concepts of unsupervised learning and practiced using K-Means Clustering to discover previously unseen patterns in the data.