Machine Learning in 2024 – Beginner’s Course

This machine learning course is created for beginners who are learning in 2024. The course begins with a Machine Learning Roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then it the course moves on to hands-on practical applications and a comprehensive end-to-end project using Python. ✏️ Course created by Tatev Karen Aslanyan.
More from Tatev here: https://lunartech.ai/ Colab Code: https://colab.research.google.com/drive/16HdFVhvRq-DEmNU61Qp8YXMTA3CxUmg-?usp=sharing Contents
⌨️ (0:00:00) Introduction
⌨️ (0:03:13) Machine Learning Roadmap for 2024
⌨️ (0:10:39) Must Have Skill Set for Career in Machine Learning
⌨️ (0:38:54) Machine Learning Common Career Paths
⌨️ (0:45:48) Machine Learning Basics
⌨️ (1:08:04) Overfitting and Regularization
⌨️ (1:23:38) Linear Regression Basics – Statistical Version
⌨️ (1:36:56) Linear Regression Model Theory
⌨️ (2:00:20) Logistic Regression Model Theory
⌨️ (2:15:37) Case Study with Linear Regression
⌨️ (2:39:54) Defining Independent and Dependent Variables
⌨️ (2:45:59) Data Cleaning and Preprocessing ⌨️ (2:54:39) Descriptive Statistics and Data Visualization
⌨️ (3:03:39) InterQuantileRange for Outlier Detection
⌨️ (3:14:00) Correlation Analysis ⌨️ (3:32:14) Splitting Data into Train/Test with sklearn
⌨️ (3:34:31) Running Linear Regression – Causal Analysis
⌨️ (4:01:24) Checking OLS Assumptions of Linear Regression Model
⌨️ (4:10:10) Running Linear Regression for Predictive Analytics
⌨️ (4:15:54) Closing: Next Steps and Resources 🎉 Thanks to our Champion and Sponsor supporters:
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Machine Learning in 2024 – Beginner’s Course