Nucleotide Machine Learning

Inspiration

What it does

How I built it

Taking a dataset of 8000 sequences of 29000 nucleotides and manually coding a feature selection algorithm (using chi squared feature selection) and using various sklearn algorithms for classification.

Challenges I ran into

Learning Python, especially numpy arrays and data storage Learning sklearn packages and how to utilize them

Accomplishments that I'm proud of

What I learned

What's next for Nucleotide Machine Learning

Built With

• python