cracking-the-data-science-interview
datacamp
| cracking-the-data-science-interview | datacamp | |
|---|---|---|
| 1 | 6 | |
| 3,190 | 313 | |
| - | - | |
| 0.0 | 8.5 | |
| 10 months ago | 25 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.
cracking-the-data-science-interview
datacamp
What are some alternatives?
edward2 - A simple probabilistic programming language.
AI-Hacktoberfest - Welcome to the Hacktoberfest Challenge for Artificial Intelligence / Machine Learning ! Today we will be assessing your skills to Predict Forest Fire Areas given its various parameters!
probability - Probabilistic reasoning and statistical analysis in TensorFlow
lovely-tensors - Tensors, ready for human consumption
wordlescraper - Combine wordle statistics metrics from various locations, data science to correlate scores with words, and a front end to display the results.
data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera
condo-adapter - Confounded Domain Adapter
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
DataScienceProjects