Using SVM, Decision Trees, & Random Forrest models on Crypto Classification and Regression Problems
In past videos we have looked at Logistic Regression (Classification) and Linear Regression on Crypto Data. Now I want to show you how easy it is to apply additional machine learning models once you setup your program to use any of the sklearn models. In this video I take the previous two examples and apply Support Vector Machines, Decision Trees, and Random Forrest for both Classification and Regression. I compare the initial results of each of them and surprise you with some interesting results. I also briefly mention the curse of dimensionality. Note, in the decision tree drawings, if you want to draw the class the decision tree predicts for each leaf node, all you have to do is add the parameter class_names=['0','1'] to the tree.export_graphviz function. It helps you see why the DT model picked a certain class over others. Make sure you have watched the previous Crypto videos in the series as that is the code I start with: • Machine Learning: Predicting Ethereum's Pr... This video covers setting up the data to be used in this model. No detail is excluded, I go over all terminology and libraries used and most importantly, code it LIVE in front of you while explaining each step from start to finish. This ain't no 5 minute video where they go from step 1 to the Eiffel Tower in step 3. I show it all, so that takes time to do right. So, get motivated and discover the power of machine learning today!
Useful Reference(s):
The Dataset: https://www.kaggle.com/odins0n/top-50...
Support Vector Classification: https://scikit-learn.org/stable/modul...
Support Vector Regression: https://scikit-learn.org/stable/modul...
Decision Trees and Graphviz: https://scikit-learn.org/stable/modul...
Random Forrest: https://scikit-learn.org/stable/modul...
Curse of Dimensionality: https://towardsdatascience.com/the-cu...
https://en.wikipedia.org/wiki/Curse_o...
Previous Videos: • Machine Learning: Predicting Ethereum's Pr...
Credits where Credits are Due:
-Subscribe End Screen: Graphicki • Video
-Live Animation: Motion Chroma | Leader • Livestream Intro [Free to Use] ♥
-Music: Song: Without You, Artist: MNRVA, / ximertracks
-Streaming Software: OBS
Thank you for watching!