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