60-Days-of-Data-Science-and-ML
60 Days of Data Science and ML (by levintech)
data-science-notes
Notes of IBM Data Science Professional Certificate Courses on Coursera (by lijqhs)
| 60-Days-of-Data-Science-and-ML | data-science-notes | |
|---|---|---|
| 5 | 1 | |
| 27 | 71 | |
| - | - | |
| 10.0 | 0.0 | |
| almost 3 years ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
60-Days-of-Data-Science-and-ML
Posts with mentions or reviews of 60-Days-of-Data-Science-and-ML.
We have used some of these posts to build our list of alternatives
and similar projects.
-
60 Days of Data Science and Machine Learning
Day 31 - Machine Learning Linear Regression
Followings are fourth week of this series. You can find them on my GitHub. You can run all the notebook on colab or jupyter notebook as well.
Day 15 - Repression Part2
Day 1 - Python Basics Part1
data-science-notes
Posts with mentions or reviews of data-science-notes.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing 60-Days-of-Data-Science-and-ML and data-science-notes you can also consider the following projects:
MAPIE - A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
Data-science - Collection of useful data science topics along with articles, videos, and code
Graphs4Sci
forestplot - A Python package to make publication-ready but customizable coefficient plots.
humble-benchmarks - Benchmarking programming languages using statistics and machine learning algorithms
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.