A Friendly Introduction to Machine Learning

Explore the fundamental algorithms of Machine Learning through this beginner-friendly 31-minute video. Dive into key concepts including Linear Regression, Gradient Descent, Naive Bayes, Decision Trees, Logistic Regression, Neural Networks, Support Vector Machines, Kernel Trick, K-Means Clustering, and Hierarchical Clustering. Gain a comprehensive understanding of Machine Learning basics with practical examples, requiring no prior knowledge. Follow along as each topic is clearly presented with timestamps for easy navigation. For those seeking deeper insights, an extended version is available in a linked playlist.

What is Machine Learning:
Linear Regression:
Gradient Descent:
Naive Bayes:
Decision Trees:
Logistic Regression:
Neural networks:
Support Vector Machines:
Kernel trick:
K-Means clustering:
Hierarchical Clustering:
Summary: