This repo was created as a mean of tracking and saving the knowledge I acquire throughout my learning journey towards my dream data job. (either Machine Learning engineer or Data scientist !!). The notes shared here are from different sources:
- Online Courses
- My university courses
- Youtube channels
- Books and research articles.
Feel free to read, share the repo and most importantly report any errors / bugs you might possibly find (well starring the repo is definitely appreciated)
The repo constitutes of 3 main folders:
- Machine_Learning: This folder includes theoretical explanations, practical tips and possible applications of the machine learning algorimths I learnt.
- Mathematics: This folder includes my own notes on the mathematical branches needed for a deeper understanding of the Data Science field. It includes mainly:
- Optimization
- Linear Algebra
- Probability theory
- statistics
- Programming_Tools: This folder saves my experiments with different related programming tools. They serve as references for best practices and general usage.
The packages used (and all related information can be found in the requirements.txt). Among the libraries used: