yeseullee / Data-science-design-manual-notebooks
Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
☆60Updated 7 years ago
Alternatives and similar repositories for Data-science-design-manual-notebooks:
Users that are interested in Data-science-design-manual-notebooks are comparing it to the libraries listed below
- An introduction to Bayesian statistics using Python and (coming soon) R.☆127Updated last year
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆175Updated last year
- Harvard CS109b Public Repository☆233Updated 4 years ago
- Introductory Statistical Inference☆142Updated 10 months ago
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- Applied Probability Theory for Everyone☆115Updated 4 months ago
- ☆52Updated 4 years ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆50Updated 5 months ago
- Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay☆68Updated 6 years ago
- NumPy tutorial given at SciPy Japan 2019☆37Updated 5 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- ☆108Updated 3 years ago
- ☆33Updated 2 years ago
- ☆290Updated 5 years ago
- Learning statistics with Python☆52Updated 4 years ago
- Official Public site for CS109a Fall 2018☆34Updated 6 years ago
- ☆154Updated 4 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆36Updated 4 years ago
- Code for the book Analytical Skills for AI and Data Science☆48Updated 4 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆348Updated 4 years ago
- Explorations of survival analysis in Python☆51Updated last year
- ☆31Updated 5 years ago
- A open source book covering the foundational maths of deep learning and machine learning using TensorFlow☆33Updated 6 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- ☆58Updated last year
- Presentation + Jupyter Notebook from PyGotham July 2016☆35Updated last year
- Artificial Intelligence with Python Cookbook, published by Packt☆73Updated 2 years ago
- Statistics for Machine Learning, published by Packt☆152Updated 2 years ago