Fundamentals
| Process for Machine Learning based projects |
| Introduction to VC- dimension |
Setup Related
| Setup Docker and Tensorflow in Windows |
| Spark read S3 files locally |
Natural Language Processing
| Topic Modeling (LDA) |
| Word Embeddings |
| Transfer Learning (BERT) |
Recommendation System
| Collaborative Filtering |
| Singular Value Decomposition |
| Non-negative Matrix Factorization |
| Content-based Recommendation |
| Hybrid Recommendation |
Real-world problems
| Classification |
| Multi-label Classification |
| Clustering |
| Topic-Modeling (LDA) |
| Recommendation System |
| Reinforcement Learning |
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