Jupyter Notebooks for Springer book Python for Probability, Statistics, and Machine Learning
NOTE: Second edition updated for Python 3.6+ is now available with corresponding Jupyter Notebooks
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning".
unpingco/Python-for-Probability-Statistics-and-Machine-Learning is ranked 13,604 with 809 stars.
unpingco/Python-for-Probability-Statistics-and-Machine-Learning is ranked 13,604 among these 8 peers; erikaduan/r_tips is ranked 13,589.
| Name | Rank | Metrics |
|---|---|---|
| ShawnyXiao/TextClassification-Keras | 13,566 |
|
| GoogleCloudPlatform/keras-idiomatic-programmer | 13,578 |
|
| cyrusbehr/tensorrt-cpp-api | 13,581 |
|
| erikaduan/r_tips | 13,589 |
|
| kale5195/chilloutai | 13,619 |
|
| SkafteNicki/dtu_mlops | 13,623 |
|
| ashishpatel26/Amazing-Feature-Engineering | 13,635 |
|
| chocoluffy/deep-recommender-system | 13,637 |
|
| Parameter | Value |
|---|---|
| Language | Jupyter Notebook |
| Category | Tutorials |
| Subcategory | ML/AI fundamentals |
| Stars | 809 |
| Forks | 300 |
| Contributors | 3 |
| Created date | 2016-02-24 |
| Updated date | 2026-10-02 |
| Stars in 1 day | 0 |
| Stars in 7 days | 0 |
| Rank | 13,604 |
| Previous rank | 13,497 |
| Rank change | -107 |
| 7-day stars rank | 14,026 |
| Previous 7-day stars rank | 14,044 |
| 7-day stars rank change | 18 |
| Total stars rank | 13,229 |
| Previous total stars rank | 13,208 |
| Total stars rank change | -21 |
unpingco/Python-for-Probability-Statistics-and-Machine-Learning has 809 stars and 300 forks.
unpingco/Python-for-Probability-Statistics-and-Machine-Learning is ranked 13,604.
unpingco/Python-for-Probability-Statistics-and-Machine-Learning has 809 stars, uses Jupyter Notebook and belongs to Tutorials.
unpingco/Python-for-Probability-Statistics-and-Machine-Learning is compared with erikaduan/r_tips, ranked 13,589 with 810 stars.
Jupyter Notebooks for Springer book Python for Probability, Statistics, and Machine Learning
NOTE: Second edition updated for Python 3.6+ is now available with corresponding Jupyter Notebooks