learning
100-Days-Of-ML-Code
| learning | 100-Days-Of-ML-Code | |
|---|---|---|
| 3 | 4 | |
| 6,092 | 43,337 | |
| - | - | |
| 8.1 | 0.0 | |
| 7 days ago | 4 months ago | |
| MIT License | 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.
learning
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A Clear roadmap to complete learning AI/ML by the end of 2022 from ZERO
Not exactly a roadmap, but I documented my learning journey here: https://github.com/amitness/learning
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[D] How software engineer get into machine learning job role?
My general transition occurred as follows: 2017-2018: - Worked as full-stack web developer in Python + Angular. Worked with a stack that had some overlap with ML Engineering (Flask, AWS Services, SQL) - In the weekends and evenings, I started doing MOOCs + practicing tons of ML. The courses I follow are here. My focus was both to go broad first and then slowly dive deep.
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Resources for self-study NLP
Personally, I'm following this to get good at NLP: https://github.com/amitness/learning#be-able-to-implement-nlp-models
100-Days-Of-ML-Code
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Top 10 GitHub Repositories for Python and Java Developers
5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
1️⃣ 100 Days Of ML Code
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The Ultimate Resource Guide for Your Next 100 Days of Code
ML: 100-Days-Of-ML-Code
What are some alternatives?
udacimak - Udacity Nanodegree and Course Downloader
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
udacity-nanodegrees - :mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula
machine_learning_basics - Plain python implementations of basic machine learning algorithms
udacity-nanodegree-react - Study notes and projects from the Udacity's React Nanodegree program
Data-science-best-resources - Carefully curated resource links for data science in one place
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects
awesome-python-data-science - Probably the best curated list of data science software in Python.
SuperStyl - Supervised Stylometry
Py_Trans - Customize Python Syntax