===== Likes: 152 👍: Dislikes: 0 👎: 100.0% : Updated on 01-21-2023 11:57:17 EST =====
Understand Principal Component Analysis? Cool! So, how do I use PCA for Machine Learning purposes? Well, look no further! I go into depth on how to utilize the linear transformations of PCA for any machine learning model!
Github:
https://github.com/SpencerPao/Data_Science/tree/main/Principal%20Components
PCA:
https://youtu.be/uNJBBpyss50
XGBoost Regression: Theory and Application!
https://youtu.be/QUp8EYNkHFU
XGBoost Classification: Theory and Application!
https://youtu.be/qjeUhuvkbHY
Linear Regression: Understanding Linear Regression!
https://youtu.be/LSmjQNsCbFs
Neural Networks: Understanding and Applying Neural Networks!
https://youtu.be/8M1EqpVhkmI
Data Imputation: Wondering what to do with NA observations?
https://youtu.be/MpnxwNXGV-E
0:00 - Principal Component Regression Summary
1:14 - Cleaning Data for Machine Learning Models
3:40 - Linear Regression Model (Base)
5:35 - Principal Component Regression
9:40 - Using Results of PCA for other Machine Learning Models (train/test)