A collection of Beginner/Intermediate level codes & notebooks on Algo/Stats/TimeSeries/ML/DL/AI/NLP/RL.
Note: This has been compiled with an intention to facilitate quick revision in future.
Following are the contents of this repository:
- Python DS&ML Bootcamp ML TheoryCodes [Beginner] - Course lesson notebooks from Pierian Data Python ML Bootcamp.
- Python DS&ML Bootcamp MiniProjects [Beginner] - Course exercise notebooks from Pierian Data Python ML Bootcamp.
- Python DS & Algorithms (Jovian.ai) [Beginner] - Course lesson notebooks from jovian.ai python algorithms.
- Online Sources (Blogs&Articles&Youtube) [Beginner] - Multiple notebooks based on self learning from various blogs(original sources mentioned).
- Statistics(Books&EtCetera) [Beginner] - Codes and notebooks pertaining to applying statistical concepts(ML models and hypothesis tests) using Python.
- Time Series [Beginner] - Noteboks to learn and improve on 📈Time Series models. Algorithms used cover basic ARIMA to advanced Prophet and LSTMs.
- Online Sources (References&EtCetera) [Intermediate😎] - Notebooks from multiple online meetups attended, like W&B or a researcher introducing some fascinating stuffs😍 and walkthroughs
- Google ML Crash Course [Intermediate🔥] - Notebooks from Google ML Crash Course, extensively uses tensorflow. Not meant for beginners!!😎
- NLP Books&EtCetera [Intermediate🔥] - Notebooks from the book 'NLP with Transformers'💬💬 & other NLP self study codes.
- Reinforcement Learning [Intermediate to Advanced💥💥] - Codes and Concepts from Deep Reinforcment Learning🤖 Course from HuggingFace and other RL based projects and codes.
- ML for Audio and Speech (HuggingFace) [Intermediate🔥] - Codes and Concepts from HuggingFace Audio Course.