Learn about the differences between Classification, Regression, Clustering and Time Series in Machine Learning. Supervised Vs Unsupervised Learning. Learn when you need to use which model based on the data and your objective. We provide examples of raw data, visuals, code and machine learning models in Python. Hope you enjoy this video!
Data Analytics Course Link:
http://ipidata.teachable.com/
Support the channel on Patreon:
https://www.patreon.com/data360yp
Overview:
- What is Regression
- Examples of Regression models Python
- What is Classification
- Examples of Classification Python
- What is Clustering
- Examples of Clustering Python
- What is Time series
- Examples of Time Series Python
- Regression Vs Classification Vs clustering Vs Time Series
Regression Model example:
https://youtu.be/lfuJgQwY6Po
Classification Model example – Logistic Regression:
https://youtu.be/tODN7x3BO_E
Classification Model example – Decision Trees:
https://youtu.be/sFVxFCYiIQI
Unsupervised Learning example:
https://youtu.be/JZSYll1j6QA
Time Series Example:
https://youtu.be/axjgEgBgIY0
Yiannis Pitsillides on Social Media:
https://twitter.com/pitsillides91
https://www.instagram.com/ypexists/?hl=en
https://www.pinterest.co.uk/pitsillides91/boards/
https://www.facebook.com/groups/1500092413449073/