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...
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.
Project completed in week 10 (30.11.-04.12.20) of the Data Science Bootcamp at Spiced Academy in Berlin.
This was a really exciting week, because we had a team project which combined the power of Machine Learning algorithms with the beauty of Web Development!
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.
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.
Project completed in week 7 (09.11.-13.11.20) of the Data Science Bootcamp at Spiced Academy in Berlin.
This week's project was the most complex and difficult so far. The challenge was to create a database of tweets, along with their sentiment score, and post positive tweets in a Slack channel. This pipeline had to be orchestrated with Docker Compose.
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.
Project completed in week 5 (26.10.-30.10.20) of the Data Science Bootcamp at Spiced Academy in Berlin.
I found this week's project quite challenging, because I haven't worked with time series and forecasting before. But this means I had a lot of new things to learn!
Project completed in week 4 (19.10.-23.10.20) of the Data Science Bootcamp at Spiced Academy in Berlin.
I was super excited about this week, because it was about language models and first steps into NLP, my favorite ML topic! The challenge was to create a Python program that scrapes lyrics from a website, preprocesses them, and predicts the artist from the text.
Project completed in week 3 (12.10.-16.10.20) of the Data Science Bootcamp at Spiced Academy in Berlin.
I really enjoyed this week's project for two main reasons: it involved time series analysis and it solved a real-world practical business problem.