bbiaggi88's Stars
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DataExpert-io/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
anthropics/courses
Anthropic's educational courses
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
google-gemini/gemma-cookbook
A collection of guides and examples for the Gemma open models from Google.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TheAlgorithms/Python
All Algorithms implemented in Python
karan/Projects-Solutions
:pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
gedeck/practical-statistics-for-data-scientists
Code repository for O'Reilly book
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
dbamman/nlp23
dbamman/anlp23
Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2023, UC Berkeley)
ashley-ha/annotationProject
Annotation Project
ashley-ha/customerChurn