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.
☆28,191Updated 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.☆26,412Updated last month
- common data analysis and machine learning tasks using python☆5,443Updated last year
- A curated list of data science blogs☆6,356Updated 11 months ago
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,299Updated 2 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,422Updated 6 months ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,564Updated 11 months ago
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,308Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,502Updated last year
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,640Updated 10 months ago
- machine learning and deep learning tutorials, articles and other resources☆16,207Updated 11 months ago
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,218Updated 5 years ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,477Updated 6 months ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆68,213Updated this week
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,316Updated 2 months ago
- scikit-learn: machine learning in Python☆62,157Updated this week
- A complete daily plan for studying to become a machine learning engineer.☆28,485Updated 11 months ago
- The most cited deep learning papers☆25,850Updated last year
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆27,410Updated 11 months ago
- A curated list of awesome Deep Learning tutorials, projects and communities.☆25,362Updated this week
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,580Updated 7 months ago
- The fastai deep learning library☆26,987Updated last week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆38,626Updated 9 months ago
- Minimal and clean examples of machine learning algorithms implementations☆10,837Updated 2 years ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,407Updated last year
- Open Source Data Science Resources.☆4,152Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,503Updated last year
- Open Content for self-directed learning in data science☆2,969Updated last week
- Deep Learning for humans☆63,040Updated this week
- Classical equations and diagrams in machine learning☆7,733Updated 10 months ago
- 100 Days of ML Coding☆47,289Updated last year