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.
Sample project covering various steps necessary for developing a model for material property prediction
Apr 28, 2021
Quick guide on plotting equal axis scatter plot in matplotlib
Apr 8, 2021
Vanilla autoencoder to learn a distributed representation of MNIST data, generate new instances, and estimate anomalies
Mar 18, 2021
Build a single-layer neural network model for binary data classification
Feb 5, 2021
Feb 3, 2021
Walkthrough on implementing a modular bayesian optimization routine
Jan 27, 2021
Jan 11, 2021
Counting trials instead of using a PnC formula
Jan 10, 2021
Visual proof of the central limit theorem
Dec 21, 2020
Analysis to understand which spices are frequently used in the Indian cuisine and explore the connection between them
Dec 9, 2020
Nov 8, 2020
Implement transfer learning using pre-trained CNN
Oct 19, 2020
Use parallelized DASK methods to find SMILE and InChI keys for molecules
Sep 18, 2020
Analyze IMDb Bollywood movie data to find average ratings and number of bollywood movie releases over time.
Aug 23, 2020
Look at different types of classification types and metric implemented in scikit-learn by building a MNIST digit classifier
Aug 12, 2020