https://github.com/chetan6780/ml-training
45 Days Machine learning and data-science training Q&A and assignments.
https://github.com/chetan6780/ml-training
data-science machine-learning python
Last synced: about 2 months ago
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45 Days Machine learning and data-science training Q&A and assignments.
- Host: GitHub
- URL: https://github.com/chetan6780/ml-training
- Owner: chetan6780
- Created: 2021-05-22T14:27:22.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-06-16T07:46:39.000Z (about 5 years ago)
- Last Synced: 2025-01-11T13:29:14.813Z (over 1 year ago)
- Topics: data-science, machine-learning, python
- Language: Jupyter Notebook
- Homepage:
- Size: 1.04 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ML-Training
45 Days Machine learning and data-science training Q&A and assignments.
| Lecture Links | Q&A | Assignment | pdf |
| :-: |-----|:----------:| :-: |
| [Class-1][y_1] | [Q&A-1](Question_%26_Answers/day_1.txt) | NA | NA |
| [Class-2][y_2] | [Q&A-2](Question_%26_Answers/day_2.txt) | [Python-1](Assignments/PY_1.ipynb)| [Get Pdf][p_1] |
| [Class-3][y_3] | [Q&A-3](Question_%26_Answers/day_3.txt) | [Python-2](Assignments/PY_2.ipynb)| [Get Pdf][p_2] |
| [Class-4][y_4] | [Q&A-4](Question_%26_Answers/day_4.txt) | [Python-3](Assignments/PY_3.ipynb)| [Get Pdf][p_3] |
| [Class-5][y_5] | [Q&A-5](Question_%26_Answers/day_5.txt) | [NumPy](Assignments/DS_1.ipynb) & [Pandas](Assignments/DS_2.ipynb)| [np][p_4] & [pd][p_5]|
| [Class-6][y_6] | [Q&A-6](Question_%26_Answers/day_6.txt) | [Matplotlib](Assignments/DS_3.ipynb)| [Get Pdf][p_6] |
| [Class-7][y_7] | [Q&A-7](Question_%26_Answers/day_7.txt) | [Linear regression](Assignments/ML_1.ipynb)|[Get Pdf][p_7] |
| [Class-8][y_8] | [Q&A-8](Question_%26_Answers/day_8.txt) | NA | NA |
| [Class-9][y_9] | [Q&A-9](Question_%26_Answers/day_9.txt) | [Multiple Linear Regression](Assignments/ML_2.ipynb)|[Get Pdf][p_8] |
| [Class-10][y_10] | [Q&A-10](Question_%26_Answers/day_10.txt) | NA | NA |
| [Class-11][y_11] | [Q&A-11](Question_%26_Answers/day_11.txt) | [Logistic Regression](Assignments/ML_3.ipynb) | NA |
| [Class-12][y_12] | [Q&A-12](Question_%26_Answers/day_12.txt) | [Dummy Variables and One-hot encoding](Assignments/ML_4.ipynb) | NA |
| [Class-13][y_13] | [Q&A-13](Question_%26_Answers/day_13.txt) | NA | NA |
| [Class-14][y_14] | [Q&A-14](Question_%26_Answers/day_14.txt) | [Decision Tree](Assignments/ML_5.ipynb) | NA |
| [Class-15][y_15] | [Q&A-15](Question_%26_Answers/day_15.txt) | NA | NA |
| [Class-16][y_16] | [Q&A-16](Question_%26_Answers/day_16.txt) | [Support Vector Machine](Assignments/ML_6.ipynb) | NA |
| [Class-17][y_17] | [Q&A-17](Question_%26_Answers/day_17.txt) | [EDA Titanic Dataset](Assignments/ML_7.ipynb) | NA |
[y_1]: https://youtu.be/DaRGQ8Py5dU
[y_2]: https://youtu.be/pveeAfZnvKo
[y_3]: https://youtu.be/t1v8A1mu_fc
[y_4]: https://youtu.be/GnffH7qmxQo
[y_5]: https://youtu.be/U7me23iypCE
[y_6]: https://youtu.be/a2vaRlwdv2M
[y_7]: https://youtu.be/xERCNJK-1KQ
[y_8]: https://youtu.be/s2tSEEUuoNQ
[y_9]: https://youtu.be/aJro56kMXww
[y_10]: https://youtu.be/HQMAoctUFOs
[y_11]: https://youtu.be/PGUgI4LoRbE
[y_12]: https://youtu.be/qz9g5pgdUHw
[y_13]: https://youtu.be/Nk6e4wht1GQ
[y_14]: https://youtu.be/6YIgeK0ys2g
[y_15]: https://youtu.be/EesJd0e62hM
[y_16]: https://youtu.be/m-qoDWOeTvo
[y_17]: https://youtu.be/eFxOekuQZ3M
[p_1]: https://drive.google.com/file/d/1anzoBiswsJFvNiN0ZvsggtDfZuTDQyl5/view?usp=sharing
[p_2]: https://drive.google.com/file/d/1_tce_cqPDFoGyAMv1R-Ra_YeJHbQFWhf/view?usp=sharing
[p_3]: https://drive.google.com/file/d/1BeeUfugWQfujPyoirTAQtGtWJou1RRHa/view?usp=sharing
[p_4]: https://drive.google.com/file/d/1D5jf74DTUOK-EwKWMd4VYR4a1GwHWajb/view?usp=sharing
[p_5]: https://drive.google.com/file/d/1ZfzN0_SAxT-NupbgpdRCBX0GZz_4521t/view?usp=sharing
[p_6]: https://drive.google.com/file/d/1WSAICAbs3bPFE9rqwXkU5nfdnxBxN2dV/view?usp=sharing
[p_7]: https://drive.google.com/file/d/1xDHGDKL8khA6AiM-zOQl2OqAhqZtCV-n/view?usp=sharing
[p_8]: https://drive.google.com/file/d/1Y1nUwcqhhFcemtPvZl6rwjMfAHGmfsE2/view?usp=sharing