Data Processing
An intuitive explanation and use cases of PCA
A basic introduction into PCA and it’s implementation using Python
Data Science
Cross-Validation: Why and how to do it
Explaining various resampling techniques and the importance of cross-Validation for predictive modeling
Basic guide into data wrangling
Useful Python attributes and functions to accelerate data wrangling
Data wrangling
Basic guide into data wrangling
Useful Python attributes and functions to accelerate data wrangling
Model Selection
An intuitive explanation and use cases of PCA
A basic introduction into PCA and it’s implementation using Python
Cross-Validation: Why and how to do it
Explaining various resampling techniques and the importance of cross-Validation for predictive modeling
messy data
Basic guide into data wrangling
Useful Python attributes and functions to accelerate data wrangling