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60 Days of Data Science and Machine Learning
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)
Topic : Basics of Scikit learn
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.
Original Link: https://dev.to/thunderstroke/60-days-of-data-science-and-machine-learning-32g0
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