MLGuide
This repository is a comprehensive guide for beginners to advanced learners in the field of Machine Learning. Whether you're interested in Python, OpenCV, TensorFlow, or PyTorch, this resource will help you build a strong foundation in these critical areas. The resources provided below include video tutorials as well as a highly recommended book.
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Machine Learning Crash Course & Book Guide
This repository is a comprehensive guide for beginners to advanced learners in the field of Machine Learning. Whether you're interested in Python, OpenCV, TensorFlow, or PyTorch, this resource will help you build a strong foundation in these critical areas. The resources provided below include video tutorials as well as a highly recommended book that will elevate your understanding.
📹 Python Crash Course (12 Hours)
Skills You Will Acquire:
- Python Fundamentals
- Data Manipulation
- Data Visualization
- Application Development
📹 OpenCV Crash Course (4 Hours)
Skills You Will Acquire:
- Image Processing
- Computer Vision Techniques
- Face Recognition
- Masking & Blurring
📹 Neural Networks Crash Course (7 Hours with TensorFlow)
Skills You Will Acquire:
- Machine Learning Algorithms
- Neural Networks
- CNNs for Computer Vision
- RNNs for NLP
Watch Neural Networks Crash Course
📹 PyTorch for Deep Learning & Machine Learning (25 Hours)
Skills You Will Acquire:
- PyTorch Fundamentals
- Deep Learning Models
- CNNs for Vision
- Custom Datasets & Augmentation
Watch PyTorch for Deep Learning & Machine Learning
📖 Book: Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
A comprehensive resource for understanding probabilistic modeling in machine learning.
Need the softcopy of the book?
Contact me at: m.raiaan.cs@gmail.com
⏱️ Time Commitment
- Total time to go through all resources: ~48 hours.
These courses and resources will provide you with a robust foundation in machine learning, computer vision, and deep learning. Happy learning!
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Audited on Mar 31, 2026