https://github.com/codeharik/fireshadow
https://github.com/codeharik/fireshadow
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/codeharik/fireshadow
- Owner: CodeHariK
- Created: 2024-01-24T07:29:04.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-22T17:39:27.000Z (over 1 year ago)
- Last Synced: 2025-03-23T09:35:19.796Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 54.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# FireShadow
* https://madewithml.com/
* [MIT 6.034 Artificial Intelligence](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi)
* [Harvard CS50’s Artificial Intelligence with Python – Full University Course](https://www.youtube.com/watch?v=5NgNicANyqM)
* [Neural Networks: Zero to Hero Andrej Karpathy](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)
* [Machine Learning for Everybody – Full Course](https://www.youtube.com/watch?v=i_LwzRVP7bg)
* [Learn PyTorch for deep learning in a day. Literally.](https://www.youtube.com/watch?v=Z_ikDlimN6A)
* [Python Data Analysis and Visualization Course – Astronomical Data](https://www.youtube.com/watch?v=H9KefzbryEw)
* [CS246, Mining Massive Data Sets](https://www.youtube.com/playlist?list=PLoCMsyE1cvdVnCgHk43vRy7PVTVWJ6WVR)
* [MLOps Course – Build Machine Learning Production Grade Projects](https://www.youtube.com/watch?v=-dJPoLm_gtE)
* [Data Engineering Course for Beginners](https://www.youtube.com/watch?v=PHsC_t0j1dU)
* [Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases](https://www.youtube.com/watch?v=mEsleV16qdo&ab_channel=freeCodeCamp.org)
* https://www.udemy.com/course/machine-learning-data-science-foundations-masterclass/
* https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/
* https://www.udemy.com/course/practical-mlops-for-data-scientists-devops-engineers-aws/
* https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/
* https://www.udemy.com/course/taming-big-data-with-apache-spark-hands-on/
* https://www.udemy.com/course/aws-machine-learning/
* https://www.udemy.com/course/aws-data-engineer/
* https://www.udemy.com/course/aws-data-analytics/
## Books
* Data Science on AWS
* Data Engineering with AWS
* Becoming a Data Head
* Algorithms (The MIT Press Essential Knowledge series)
* MATHEMATICS FOR MACHINE LEARNING
* Practical Statistics for Data Scientists
* Data Science From Scratch
* DATA SCIENCE (The MIT Press Essential Knowledge series)
* Fundamentals of Data Engineering
* Learning Spark
* Spark: The Definitive Guide
* Python Data Science Handbook
* Designing Machine Learning Systems
* The Hundred-Page Machine Learning Book
* Machine Learning using Python
* Machine Learning: The New AI (The MIT Press Essential Knowledge series)
* Machine Learning Simplified
* Machine Learning Engineering
* Machine Learning: A Probabilistic Perspective
* Probabilistic Machine Learning
* Deep Learning: A Visual Approach
* Deep Learning (Ian Goodfellow)
* Deep Learning for Coders with Fastai and PyTorch
* Deep Learning (Adaptive Computation and MATHEMATICS FOR MACHINE LEARNINGe Learning series)
* DEEP LEARNING ILLUSTRATED
* DEEP LEARNING (The MIT Press Essential Knowledge series)
* Deep Learning from Scratch
* Understanding Deep Learning
* Natural Language Processing with Transformers
* Generative Deep Learning
* PATTERN RECOGNITION AND MACHINE LEARNING
* Reinforcement Learning
### Talks
* [How to Handle Very Large Data with Python](https://www.youtube.com/watch?v=YDP0ZRIdavw)