Master Machine Learning: Complete Pro Course 2024
Focused View
4:38:13
1 - Introduction to Machine Learning.mp4
30:20
2 - ML Unsupervised Learning.mp4
28:01
4 - Evaluation Metrics for Regression Model.mp4
25:09
5 - Supervised Learning Classification in Machine Learning.mp4
33:45
6 - Supervised Learning Decision Trees.mp4
22:02
7 - Unsupervised Learning Clustering.mp4
38:45
8 - Unsupervised Learning DBSCAN Clustering.mp4
32:09
9 - Unsupervised Learning Dimensionality Reduction.mp4
24:24
10 - Unsupervised Learning Dimensionality Reduction with tSNE.mp4
17:12
11 - Model Evaluation and Validation Techniques.mp4
26:26
More details
Course Overview
This comprehensive course offers an in-depth journey into Machine Learning and Data Science, covering both supervised and unsupervised learning techniques with practical case studies.
What You'll Learn
- Master regression and classification models for predictive analytics
- Apply unsupervised learning techniques like clustering and dimensionality reduction
- Evaluate models using industry-standard metrics and validation techniques
Who This Is For
- Aspiring Data Scientists and AI Engineers
- Professionals looking to upgrade their ML skills
- Anyone interested in future-proof AI career paths
Key Benefits
- Hands-on experience with Python and R libraries
- Real-world case studies for practical application
- Comprehensive coverage from basics to advanced techniques
Curriculum Highlights
- Supervised Learning - Regression & Classification
- Unsupervised Learning - Clustering & DBSCAN
- Model Evaluation & Dimensionality Reduction
Focused display
Category
- language english
- Training sessions 10
- duration 4:38:13
- Release Date 2025/04/30
