Every moment is a data point

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.

### Mateiral informatics sample project

### Making equal spaces parity plots using Matplotlib

### Anamoly detection using autoencoders

### Implement neural network from scratch for binary classification

### t-SNE and UMAP - Effect of initialization on the dimensionality reduction

### Bayesian optimisation implementation

### Estimating prediction confidence through dropout

### Solving the birthday problem using simple counting

### Central limit theorem

### Relational analysis of spices used in Indian cuisine

### Network analysis hands-on

### Transfer learning walkthrough using Pytorch

### Get SMILES from PubChem using DASK

### Analyze Bollywood movie ratings (1950-2020)

### Classification-based algorithms walkthrough