60-Days-of-Data-Science-and-ML
Data-Science-Roadmap
Our great sponsors
60-Days-of-Data-Science-and-ML | Data-Science-Roadmap | |
---|---|---|
5 | 4 | |
22 | 2,853 | |
- | - | |
10.0 | 8.7 | |
over 1 year ago | 5 months ago | |
Jupyter Notebook | ||
- | MIT License |
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
-
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-Roadmap
- Road map data science/ machine learning
- Mudança de carreira- programação
-
Career Roadmaps
Data science: https://github.com/Moataz-Elmesmary/Data-Science-Roadmap
- Data-Science-Roadmap: Data Science Roadmap from A to Z
What are some alternatives?
data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
MAPIE - A scikit-learn-compatible module for estimating prediction intervals.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
eip1559_analysis - Can we estimate the economic impact of EIP-1559 on miners? This repository try to estimate the loss of miners' revenue coming from transactions fees, using Ethereum historical data.
stat-cookbook - :orange_book: The probability and statistics cookbook
collatz-conjecture - A calculator as Jupyter Lab notebook for Collatz Conjecture or commonly known as 3x+1 problem.
Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
awesome_time_series_in_python - This curated list contains python packages for time series analysis
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Portfolio-Guide - A guide and summary to my projects and case studies.