This repository is a collection of Jupyter notebooks I have written and development while taking numerous online courses (see my Datacamp profile for a list of the courses I have taken there). I have grouped them into topics the best that I can but there is, undoubtedly, some overlap.

I spend the majority of my time working on data projects and analysing datasets when I'm not working, if you want to see some of the data work that I have written up then I would check out my Kaggle profile where I am a Kernels Expert.

Last updated: 13th Jan 2020

• PyTorch
• Entropy
• Error functions
• Gradient Descent
• Image classification

• Flat files

• Handling categorical variables
• Combining columns
• Group by
• Value counts
• Handling dictionary columns

• Decision Trees
• Unsupervised learning
• SMV
• SKLearn

• Cleaning JSON
• Functions
• List comprehensions
• Progress Bar for scripts
• Remapping columns

• ECDF
• Basic Summary Statistics

• Seaborn
• Matplotlibn
• Subplots