svenrr
I am especially interested in applying my knowledge of Business & Data Science in eSports, Marketing, E-Commerce, Real Estate, Finance, Consulting & Start Ups.
Köln
Pinned Repositories
camunda-external-task-client-python3
Camunda External Task Client in Python
GNE-webapp-streamlit
This is our first web app for our "Good News Everyone" project. For the deployment we use streamlit.io
good_news_everyone
This repository contains our final project from the Data Science Bootcamp. We analyze news articles and only show good news. We also classified the news by category and performed extractive summaries.
google-trends-api
I tried first steps with the Google Trends API to lay the foundation for later projects by dealing with the basic functions.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
kc-house-prices
First project during my Data Science Bootcamp. I worked with the King County House Sales dataset. Here, the focus is on EDA, Linear Regression and the Data Science Lifecycle.
kickstarter-project
The second project from our Data Science Bootcamp deals with crowdfunding by analyzing the data set of Kickstarter.
mall-customer-clustering
I have tried out some clustering models and methods on the data set about Mall Customer Segmentation.
pdf-highlight-extraction
Script to extract highlighted text from a pdf file to a txt file.
trend-analysis
In this repository, different sources - Reddit, Twitter and Google Trends - are used to quickly gain an overview of current topics in the world or a specific industry/keyword.
svenrr's Repositories
svenrr/good_news_everyone
This repository contains our final project from the Data Science Bootcamp. We analyze news articles and only show good news. We also classified the news by category and performed extractive summaries.
svenrr/pdf-highlight-extraction
Script to extract highlighted text from a pdf file to a txt file.
svenrr/trend-analysis
In this repository, different sources - Reddit, Twitter and Google Trends - are used to quickly gain an overview of current topics in the world or a specific industry/keyword.
svenrr/camunda-external-task-client-python3
Camunda External Task Client in Python
svenrr/GNE-webapp-streamlit
This is our first web app for our "Good News Everyone" project. For the deployment we use streamlit.io
svenrr/google-trends-api
I tried first steps with the Google Trends API to lay the foundation for later projects by dealing with the basic functions.
svenrr/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
svenrr/kc-house-prices
First project during my Data Science Bootcamp. I worked with the King County House Sales dataset. Here, the focus is on EDA, Linear Regression and the Data Science Lifecycle.
svenrr/kickstarter-project
The second project from our Data Science Bootcamp deals with crowdfunding by analyzing the data set of Kickstarter.
svenrr/mall-customer-clustering
I have tried out some clustering models and methods on the data set about Mall Customer Segmentation.
svenrr/health-insurance-cross-sell-prediction
Health Insurance Cross Sell Prediction | Predict Health Insurance Owners' who will be interested in Vehicle Insurance
svenrr/ikea-alerts
Notifications for new items, geo and stock analysis
svenrr/immoscout24-germany
A dataset is analyzed that was scraped from www.immobilienscout24.de. It is the largest platform for real estate in Germany. The focus is on apartment rental offers in Germany.
svenrr/pymsteams
Format messages and post to Microsoft Teams.