The repo of the machine learning team at Google DSC Fayoum University, contains the material for each session, as well as the tasks and projects that will be done throughout the season.
| Chapter | Session | Content |
|---|---|---|
| Python | python basics 1 | Varibles - Data types - Lists - Dicts - converting DT |
| Python | python basics 2 | IF stetmints - Loops - Exception handling - Functions |
| Python | python OOP | Functions - Classes - Objects |
| Math | Stat 1 | https://www.coursera.org/learn/stanford-statistics |
| Math | stat 2 | https://youtube.com/playlist?list=PL6zNrvRF2cEf1japzHirHv5PgSXoR0HaK |
| Math | Advanced stat | https://www.youtube.com/watch?v=uhxtUt_-GyM&list=PL1328115D3D8A2566 |
| Math | Advanced prob | https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19 |
| Math | Linear Algebra | https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab |
| DA With Python | Numpy & Pandas | Numpy arrays - Higher Dims - Nmpay oprations - Pandas Intro |
| DA With Python | Matblotlip & seaborn | Analytical thinking - Data exploration - Data visualization |