yeseullee / Data-science-design-manual-notebooksLinks
Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
☆61Updated 8 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
Sorting:
- Applied Probability Theory for Everyone☆116Updated 10 months ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆53Updated 11 months ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆62Updated 4 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated last year
- [Video]Colab Notebooks for Python for Data Science by Pearson☆42Updated 7 months ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 6 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆176Updated last year
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- Jupyter notebooks with exercises for the No bullshit guide to linear algebra.☆234Updated last year
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- Network and Graph Algorithms From Scratch☆113Updated 2 years ago
- An introduction to data science in Python, for people with no programming experience.☆437Updated 2 months ago
- Data Structures and Information Retrieval in Python☆133Updated last year
- ☆133Updated last year
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆87Updated 7 years ago
- Presentation + Jupyter Notebook from PyGotham July 2016☆35Updated last year
- ☆54Updated 5 years ago
- Machine Learning with PyTorch tutorials (for Pearson)☆47Updated 3 years ago
- Managed Machine Learning Systems and Internet of Things Live Lesson☆40Updated 7 months ago
- ☆33Updated 2 years ago
- Course notes for MSDS501, computational boot camp, at the University of San Francisco☆125Updated 3 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- MSAN692 Data Acquisition☆128Updated 3 years ago
- Statistical Methods & Applied Mathematics in Data Science, Published by Packt☆28Updated 4 years ago
- Slides showing a walkthrough of the tutorial by kozyrkov and bkungfoo available at github.com/google-aai/sc17.☆98Updated 4 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆74Updated 6 years ago
- ☆293Updated 6 years ago
- ☆101Updated 7 years ago