60 Days of Data Science and Machine Learning

This content originally appeared on DEV Community 👩‍💻👨‍💻 and was authored by Levin

Hello, everyone.

Followings are fifth 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 31 - Machine Learning Linear Regression

  Topic : Univariate linear regression

• Day 32 - Multiple Linear Regression

  Topic : Multiple linear regression

• Day 33 - Logistic Regression Project1

  Topic : Logistic Regression

• Day 35 - Principle Component Analysis

  Topic : Principle Component Analysis

• Day 36 - Advanced Regression Techniques Part1

  Topic : Advanced Regression Techniques

• Day 37 - Advanced Regression Techniques Part2

  Topic : Advanced Regression Techniques

• Day 38 - Support Vector Machine

  Topic : SVM (Support Vector Machine)

• Day 39 - Scikit-learn

  Topic : Basics of Scikit learn

• Day 40 - Tensorflow

  Topic : Basics of Tensorflow

Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://github.com/thunderstroke325
https://dev.to/thunderstroke
Best Regards.

This content originally appeared on DEV Community 👩‍💻👨‍💻 and was authored by Levin

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