TeamDataAnalysis

Inspiration

We were very interested in the topic of the assignment because we were interested in machine learning

What it does

We tried to understand the task at hand and to understand the principles on which anomaly detection in machine learning works. We also found out how different algorithms for anomaly detection work and how they can be compared

How we built it

We used Jupyter-notebooks

Challenges we ran into

Understand the principles of machine learning, input, organizing data in a file and working with jupyter notebooks

Accomplishments that we're proud of

We functionalized and adjusted jupyter lab, filtered outliers from the data set

What we learned

We understood the task, the principle of functioning of anomaly detection and the criteria on the basis of which anomaly detection models can be compared.