Various data science projects I've worked on, either in my spare time or as part of my studies at the University of Bergen. Most, if not all code is written in Python and are available as Jupyter Notebooks, which are ordered ascendingly by completion date s.t. the most recently finished project will have the highest number in the title.
Projects currently available:
- 08 - Implementing Backpropagation and Gradient Descent with PyTorch
- 07 - Stochastic Gradient Descent for Logistic Regression
- 06 - Multinomial Naive Bayes for Genre Classification
- 05 - Predicting Property Prices for NYC with XGBoost, SVM, MLP and Linear regression
- 04 - Creating a Network Graph of Twitter Hashtags with Selenium, NetworkX and Gephi
- 03 - Visualizing Crypto Prices with MPL Finance
- 02 - Data Wrangling
- 01 - Handling Missing Data and Feature Engineering
Feel free to check out my other Data Science-related projects here on GitHub as well:
If you found any of these projects to be helpful or informative, please leave me a star!