This is a list of all of my assignments that I created during phase 1 of the GDG Cloud Edmonton Machine Learning Bootcamp 2021. Phase 2 of the Bootcamp can be found here: Phase2
To easily navigate through all of the different sections
A list of all of my assignments and analyses that I developed during phase 1 of the GDG Cloud Edmonton Machine Learning Bootcamp 2021. All were made using python on Google Colab and relied heavily on external libraries and data from the Titanic Kaggle Contest.
- Week 4: Grid Search and Cross Validation Titanic Model
- Python
- Pandas
- Numpy
- Scikit-learn
- Matplotlib
- Seaborn
- Keras
- and more...
To run the notebook, you must download the .ipynb file and upload it onto Google Colab. Then download all of the imports in the imports folder. On the notebook, upload the downloaded import files to the session storage (click the files icon on the left menu and then click the first icon from the left)