Alessio Negrini's repositories
advanced-ml-final-project
Final (bonus) project of the lecture 'Advanced Machine Learning' taught by Dr. Nazemi (IISM). The goal is to predict a credit default with different models. Includes Data Cleaning, Feature Engineering, Model Comparison, etc...
biosignals-gen-ai
Seminar work of generating synthetic BCI data (EEG data) using Variational Auto Encoders (VAEs) and analyzing the effect on EEGNet at the chair of Information & Market Engineering (IISM) @ KIT
kit-grade-analyzer
Simple tool to analyze and compare the final grades of Karlsruhe Institute of Technology (KIT) graduates in a certain cohort using Streamlit + Plotly.
meta-learning-for-encoder-selection
Meta-Learning for Encoder Selection, aiming to determine the most effective encoding method under specific experimental conditions. This is part of the Data Science Lab 2023 at KIT (Karlsruher Institute of Technology), Phase II..
multivariate-verfahren
Collection of Jupyter Notebooks of small tasks regarding the lecture 'Multivariate Statistical Procedures' at KIT.
nlp_doc2vec_unsupervised_clustering
NLP Model (Doc2Vec) for clustering and analyzing customer feedback during my internship at BMW Group. Official data has been removed because of data privacy issues. No bokeh library since GitHub does not support interactive plots.
bfh23-foodwaste
Our solution to the Black Forest Hackathon 2023 food wasting challenge (#2) to reduce food wastes in local bakeries. We developed an ML Pipeline that takes products IDs and dates as input and outputs the forecast using XGBRegressor and Streamlit as frontend.
data-science-lab-phase-1
Our project of the first phase of the Data Science Lab 2023. Goal is a multi class classification pipeline to predict earthquake damage. We won the internal course competition with an MCC test score of 0.535.
database-lab-2023
Submission for Exercise 03 of the Practical Course: Database Systems 2023 at KIT
finetuned-trocr-codeimg2text
Mirrored Repo of our Seminar Work "Optical Character Recognition on Code Screenshots – Training a Transformer based OCR Engine"
helping_modules
Collection of helping modules that have been very useful during my studies and internships.
ols_lad_estimator
Small bonus task for the advanced statistic course @ KIT
reinforcementlearning
Implementation of fundamental Reinforcement Learning algorithms during my bachelor thesis "Reinforcement Learning - Theoretical Introduction and Applications"