|over 1 year ago||24 days ago|
|Jupyter Notebook||Jupyter Notebook|
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.
We haven't tracked posts mentioning wordle-solver yet.
Tracking mentions began in Dec 2020.
Andrew Ng or more hands-on course?
3 projects | /r/learnmachinelearning | 2 Aug 2021
I will give it a look into Ng's course, try out some of the resources in this github and look into this website too
Weekly Entering & Transitioning Thread | 14 Feb 2021 - 21 Feb 2021
2 projects | /r/datascience | 17 Feb 2021
Data analysis roadmap
What are some alternatives?
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
ml-coursera-python-assignments - Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console
alphalens - Performance analysis of predictive (alpha) stock factors
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
DadosAbertosBrasil - Pacote Python para acesso a dados abertos e APIs do governo brasileiro.
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
Jupyter-PowerShell - Jupyter Kernel for PowerShell
visualizingRuntimes - Use code to visualize and determine runtime complexities for different algorithms.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library