/CourseBundles(42085)/3084356-4.jpg)
Course Overview
Schedule of Classes
Course Curriculum
1 Subject
ML Foundation
29 Learning Materials
Machine Learning Concepts
Define Machine Learning Part 1
Video
00:08:02
Define Machine Learning Part 2
Video
00:05:28
Supervised and Unsupervised Learning Part 1
Video
00:05:28
Supervised and Unsupervised Learning Part 2
Video
00:04:09
Reinforcement Learning
Video
00:04:11
Difference Between ML Types
Video
00:07:32
Neural Networks
Video
00:03:57
Applications of Deep Learning
Video
00:02:10
ML Algorithms Linear Regression
Video
00:05:37
ML Algorithms Decision Trees
Video
00:03:48
ML Algorithms CNN
Video
00:05:06
ML Algorithms RNN
Video
00:05:30
Summary of ML Algorithms
Video
00:03:07
Data Prep and Cleaning
Video
00:03:59
Evaluating Machine Learning Models
Video
00:04:32
Ethics in Machine Learning
Video
00:01:57
Future of Machine Learning
Video
00:03:00
Resource Guides ML Lab
Resource Guides ML Lab
ZIP
Machine Learning Hands-on
Demo: Numpy Labs
Video
00:08:03
Demo: Pandas
Video
00:08:34
Demo: Numpy and Pandas
Video
00:03:57
Demo: Supervised Learning Part -1
Video
00:08:48
Demo: Supervised Learning Part -2
Video
00:06:24
Demo: Supervised Learning Part -3
Video
00:02:39
Demo: Supervised Learning Part -4
Video
00:04:39
Demo: Unsupervised Learning Part 1
Video
00:05:21
Demo: Unsupervised Learning Part 2
Video
00:09:10
Demo: Linear Regression Single Variable
Video
00:07:40
Demo: Linear Regression Multi Variable
Video
00:06:25
Course Instructor
/3084419-Untitled_design_(2).png)
Anil Bidari
60 Courses • 1922 Students
CEO of CloudEnabled
ChatGPT developer @ Own Company
| Generative AI Trainer | AAI |
| Aws AI trainer | Azure AI trainer | Google AI trainer |
| DevOps consultant | DevOps trainer |
By clicking on Continue, I accept the Terms & Conditions,
Privacy Policy & Refund Policy