Blog documenting the tinkerings and helpful tips I have accumulated in the area of data science and machine learning, with some flavor of chemical science sprinkled sporadically.
The posts are meant to be a reference for my future self or whoever wishes to start in the data science and ML space.
Exploratory data analysis and machine leanring model development for property price prediction
Aug 2, 2019
Notebook that uses `BeautifulSoup` and `yfinance` api to accquire a list of S&P 500 companies and plot their market capital and year-to-date return
Aug 1, 2020
Simple notebook looking at meshes in matplotlib
Jul 18, 2020
Apr 22, 2020
Walkthrough on implementing a convolutional neural network using Pytorch and predicting CIFAR-10 data labels
Mar 17, 2020
Feb 19, 2020
A minimal example of using markdown with fastpages.
Jan 14, 2020
Oct 11, 2019
Oct 4, 2019
Introduction to the math behind PCA with applications to MNIST and Iris dataset
Sep 7, 2019
Walkthrough on implementing a vanilla feed-forward neural network using Pytorch and predicting MNIST digits
Aug 13, 2019