Category:Data Science: Difference between revisions

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;An Introduction to Statistical Learning is a textbook by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. Conceptual and applied exercises are provided at the end of each chapter covering supervised learning.
;An Introduction to Statistical Learning is a textbook by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. Conceptual and applied exercises are provided at the end of each chapter covering supervised learning.
: https://github.com/a-martyn/ISL-python
: https://github.com/a-martyn/ISL-python
; Complete Guide on Time Series Analysis in Python
: https://www.kaggle.com/code/prashant111/complete-guide-on-time-series-analysis-in-python/notebook

Latest revision as of 14:41, 21 October 2024

https://medium.com/cindicator/must-have-statistical-tests-for-any-data-scientist-weekend-of-a-data-scientist-4543f2c393cd

https://www.analyticsvidhya.com/blog/2018/05/generate-accurate-forecasts-facebook-prophet-python-r/

Fortune-Telling with Python An Intro to Facebook Prophet
https://www.youtube.com/watch?v=95-HMzxsghY
An Introduction to Statistical Learning is a textbook by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. Conceptual and applied exercises are provided at the end of each chapter covering supervised learning.
https://github.com/a-martyn/ISL-python
Complete Guide on Time Series Analysis in Python
https://www.kaggle.com/code/prashant111/complete-guide-on-time-series-analysis-in-python/notebook

Pages in category "Data Science"

The following 5 pages are in this category, out of 5 total.