Master Machine Learning in Just 60 Hours: Complete Beginner's Course πŸš€

Dive into this comprehensive Machine Learning course designed for beginners. Learn key concepts, techniques, and practical skills to kickstart your AI journey in just 60 hours!

Master Machine Learning in Just 60 Hours: Complete Beginner's Course πŸš€
Siddhardhan
171.8K views β€’ Sep 12, 2022
Master Machine Learning in Just 60 Hours: Complete Beginner's Course πŸš€

About this video

This Complete Machine Learning Course video will help you understand and learn Machine Learning in detail. This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning concepts & practice.

πŸ€– Complete Generative AI Course for Beginners: https://linktr.ee/siddhardhan

Complete Machine Learning Course in 60 Hours - Part 1: https://youtu.be/LcWFedjaR4Q

Github repository link for Colab Notebooks: https://github.com/siddhardhan23/Complete-Machine-Learning-Course-Part-2

All Datasets Link: https://drive.google.com/drive/folders/1RjK30edxWBlkK37w-9gY1JmmWFN4kUkO?usp=sharing

Timestamp for the topics covered in this Machine Learning Course video:

00:00 Introduction
5:15 Mathematics for ML - Introduction
10:39 Linear Algebra - Vectors
20:40 Vector Operations - Part 1
33:35 Vector Operations in Python - Part 1
53:18 Vector Operations - Part 2
1:03:34 Vector Operations in Python - Part 2
1:22:06 Matrix - Basics
1:35:45 Working with Matrix in Python
1:54:09 Matrix Operations
2:12:36 Matrix Operations in Python
2:44:38 Statistics for ML - Intro
2:53:26 Statistics Basics & Types of Data
3:06:55 Types of Statistics
3:20:46 Statistical Study - Types
3:32:57 Population & Sample
3:56:24 Central Tendencies
4:12:45 Measure of Variability
4:25:25 Percentiles & Quantiles
4:34:10 Correlation & Causation
4:47:41 Hypothesis Testing
4:57:45 Probability for ML
5:05:55 Basics of Probability
5:15:52 Random Variables & its Types
5:25:22 Probability Distribution for Random Variables
5:35:18 Normal Distribution & Skewness
5:44:55 Poisson Distribution
5:55:19 Module 6: ML Models
6:16:07 Supervised Learning Models
6:24:05 Unsupervised Learning Models
6:30:45 Model Selection & Cross Validation
6:45:01 Overfitting
6:59:03 Underfitting
7:07:37 Bias Variance Tradeoff
7:26:12 Loss Function
7:40:24 Model Evaluation
7:55:58 Model Parameters & Hyperparameters
8:28:15 Gradient Descent
8:54:01 ML Use Case 4: Heart Disease Prediction
10:32:55 ML Use Case 6: Loan Approval Prediction

Note: Audio is not proper for "ML Use Case 5: House Price Prediction"
Kindly check this video for House Price Prediction alone: https://youtu.be/fw5rkjq4Tfo

Machine Learning Projects Playlist: https://youtube.com/playlist?list=PLfFghEzKVmjvuSA67LszN1dZ-Dd_pkus6

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Video Information

Views

171.8K

Likes

2.5K

Duration

11:41:34

Published

Sep 12, 2022

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