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· 2 min read

At the beginning of the new year 2021, Kaggle created a new format of competitions aimed at beginners. On the 1st of each month, a month-long Playground competition is launched, where you can practice your ML skills on simple tabular datasets. Apart from competitive experience, the top 3 teams get to win some Kaggle merchandise!

· 4 min read

2020 has definitely been an objectively crappy year... But in terms of programming experience, this year has been by far my most productive and enriching! It was my third year of coding, and second year of doing for work. I've learned a lot on the job and through self-study, developed my Python skills and even learned two new languages. Here's how my coding year progressed:

· 7 min read

Project completed in week 12 (14.12.-18.12.20) of the Data Science Bootcamp at Spiced Academy in Berlin.

I did it! I graduated from the Data Science Bootcamp! On Friday I presented my final project, which was about detecting emotions from speech with neural networks. It was one of the most challenging project I've worked on, because I had to learn something new (how to process audio data and make live voice predictions) and prepare everything nicely in only 7 days. Here's how it went...

· 2 min read

Project completed in week 11 (06.12.-11.12.20) of the Data Science Bootcamp at Spiced Academy in Berlin.

This was the last week of lectures and assigned projects, in which we learned general software engineering techniques and best practices for individual and team coding.

· 5 min read

Project completed in week 9 (23.11.-27.11.20) of the Data Science Bootcamp at Spiced Academy in Berlin.

This week we dived into Deep Learning and learned about different types neural networks (NN) and their applications in various domains. The main goal of this project was to learn and understand what each hyperparameter in a NN model does and how to tune it, so this week was more theoretical and math-heavy than usual.

· 4 min read

Project completed in week 8 (16.11.-20.11.20) of the Data Science Bootcamp at Spiced Academy in Berlin.

This week we learned to make a Markov Chain Monte Carlo (MCMC) simulation of new customers in a supermarket, based on data about customer paths from entrance to checkout through four aisles (fruit, drinks, dairy, and spices) recorded on five days from 7 am to 10 pm. This project was particularly challenging for two reasons: it involved object-oriented programming (OOP) and team work. In this post I'll give you an overview of our workflow.

· 4 min read

Project completed in week 6 (02.11.-06.11.20) of the Data Science Bootcamp at Spiced Academy in Berlin.

This was another week packed with new information and experiences! In only five days, I managed to set up a Postgres database, deploy it on AWS RDS, connect it to Metabase to create a dashboard and in turn connect it to AWS EC2 to make the dashboard run continuously.