https://github.com/shohan4556/machine-learning-course-notes
A collection of notes and codes of my Msc course on Machine Learning
https://github.com/shohan4556/machine-learning-course-notes
ai data-science machine-learning python3
Last synced: 10 months ago
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A collection of notes and codes of my Msc course on Machine Learning
- Host: GitHub
- URL: https://github.com/shohan4556/machine-learning-course-notes
- Owner: shohan4556
- License: mit
- Created: 2019-10-06T17:45:44.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-04-25T13:49:23.000Z (about 6 years ago)
- Last Synced: 2025-08-27T01:14:51.238Z (10 months ago)
- Topics: ai, data-science, machine-learning, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 13.5 MB
- Stars: 9
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# machine-learning-course-notes
machine-learning-course-notes
## cheatsheet
-----
* [Jupyter notebook](cheatsheet/jupyter.pdf)
* [Numpy](cheatsheet/numpy.pdf)
* [Scikit learn](cheatsheet/scikitlearn.pdf)
***Resources***
------
[100 days of machine learning](https://github.com/Avik-Jain/100-Days-Of-ML-Code)
[Deep learning](https://github.com/shohans-galaxy/awesome-deep-learning)
[হাতেকলমে মেশিন লার্নিং](https://rakibul-hassan.gitbook.io/mlbook-titanic/)
[wtfpython](https://github.com/shohans-galaxy/wtfpython)
[machine learning with python](https://www.datacamp.com/tracks/machine-learning-with-python)
[python-for-programmers](https://www.educative.io/track/python-for-programmers)
[become-ml-engineer](https://www.educative.io/track/become-ml-engineer)
[maths fo machine learning](https://medium.com/s/story/essential-math-for-data-science-why-and-how-e88271367fbd)
**[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)**
**[Tweet Size ML Implementation](https://github.com/eriklindernoren/NapkinML)**
***Dataset download free***
1. [https://catalog.data.gov/dataset](https://catalog.data.gov/dataset)
2. [BuzzFeed News Data](https://github.com/BuzzFeedNews/everything)
3. [Fivethirtyeight](https://github.com/fivethirtyeight/data)
4. [Kaggle](https://www.kaggle.com/datasets)
5. [Data world](https://data.world/)