donnemartin / data-science-ipython-notebooksLinks
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.
☆28,588Updated last year
Alternatives and similar repositories for data-science-ipython-notebooks
Users that are interested in data-science-ipython-notebooks are comparing it to the libraries listed below
Sorting:
- An awesome Data Science repository to learn and apply for real world problems.☆27,555Updated last week
- Python Data Science Handbook: full text in Jupyter Notebooks☆45,702Updated last year
- A curated list of data science blogs☆6,373Updated last year
- common data analysis and machine learning tasks using python☆5,613Updated last year
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,511Updated 10 months ago
- machine learning and deep learning tutorials, articles and other resources☆17,014Updated last year
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,613Updated 7 months ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,750Updated last year
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,358Updated 3 years ago
- Lecture notes, scripts, and material for the lecture of Selected Statistics Topics in the Autonomous University of Querétaro☆12Updated 11 months ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,375Updated 4 years ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,189Updated 5 years ago
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,509Updated 2 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆70,086Updated last week
- A curated list of awesome Deep Learning tutorials, projects and communities.☆26,302Updated 4 months ago
- Recipes for using Python's pandas library☆6,945Updated 11 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,699Updated 11 months ago
- A collection of IPython notebooks covering various topics.☆2,607Updated 4 years ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,743Updated 2 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,617Updated 5 years ago
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,602Updated 3 weeks ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,196Updated last year
- Minimal and clean examples of machine learning algorithms implementations☆10,908Updated 3 months ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,732Updated 11 months ago
- Open Content for self-directed learning in data science☆2,977Updated 4 months ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,399Updated last year
- code for Data Science From Scratch book☆9,289Updated last year
- Open Source Data Science Resources.☆4,186Updated last year
- The most cited deep learning papers☆25,998Updated last year
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,365Updated 5 years ago