Master Machine Learning in Just 60 Hours: Complete Beginner's Course π
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!

Siddhardhan
171.8K views β’ Sep 12, 2022

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.
π€ 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
Hello everyone! I am setting up a donation campaign for my YouTube Channel. If you like my videos and wish to support me financially, you can donate through the following means:
From India π UPI ID : siddhardhselvam2317@oksbi
Outside of India? π Paypal id: siddhardhselvam2317@gmail.com
(No donation is small. Every penny counts)
Thanks in advance!
LinkedIn: https://www.linkedin.com/in/siddhardhan-s-741652207
Telegram Group: https://t.me/siddhardhan
Facebook group: https://www.facebook.com/groups/490857825649006/?ref=share Instagram: https://www.instagram.com/siddhardhan23
π€ 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
Hello everyone! I am setting up a donation campaign for my YouTube Channel. If you like my videos and wish to support me financially, you can donate through the following means:
From India π UPI ID : siddhardhselvam2317@oksbi
Outside of India? π Paypal id: siddhardhselvam2317@gmail.com
(No donation is small. Every penny counts)
Thanks in advance!
LinkedIn: https://www.linkedin.com/in/siddhardhan-s-741652207
Telegram Group: https://t.me/siddhardhan
Facebook group: https://www.facebook.com/groups/490857825649006/?ref=share Instagram: https://www.instagram.com/siddhardhan23
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Video Information
Views
171.8K
Likes
2.5K
Duration
11:41:34
Published
Sep 12, 2022
User Reviews
4.6
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