PCA Python Colab
Budget: $10 – $30 USD
Write a Python notebook that performs PCA(Principal component analysis) in Google Colab, your PCA solutions should have:
1. generate dataset
2. perform exploratory data analysis
3. perform pre-PCA tests (check if the dataset is suitable for PCA)
4. perform PCA
5. perform PCA rotation
6. save the PCA loadings (use threshold value of 0.45 to identify features loading at the component)
7. visualize PCA
You are also required to have annotations (text cells) in your code.
1. generate dataset
2. perform exploratory data analysis
3. perform pre-PCA tests (check if the dataset is suitable for PCA)
4. perform PCA
5. perform PCA rotation
6. save the PCA loadings (use threshold value of 0.45 to identify features loading at the component)
7. visualize PCA
You are also required to have annotations (text cells) in your code.