martintschendel Goto Github PK
Name: Martin Tschendel
Type: User
Company: Volkswagen Group China
Bio: https://www.linkedin.com/in/martin-tschendel-9490b0113/
Location: Beijing
Name: Martin Tschendel
Type: User
Company: Volkswagen Group China
Bio: https://www.linkedin.com/in/martin-tschendel-9490b0113/
Location: Beijing
Conducting an AB-Test for an e-commerce website
Gathering and Analyzing Data from the World Air Quality Index Project
Applying deep learning and build an artificial neural network with tensorflow, what makes predictions on the churning probabilities of bank customers.
Algorithms, that make certain additional product suggestions, after customers purchased a specific product
Visual exploration of data from the Ford GoBike and Citibike sharing systems, covering the greater San Francisco Bay area and New York.
Using a linear regression model to predict house prices in Boston
a linear regression model to predict car prices
Using logictic regression for classification to predict if persons would churn from the services of a telecom company.
Using logistic regression in order to build a classification model, that tries to predict breast cancer.
This dataset includes the age and salaries of customers, who decide if they want to buy a SUV. Different classification models are used to predict the decisions of the customers. It is based on the udemy course Machine Learning A-Z
use python to realize CRUD statements for mysql and sqlite3
Deploy docker on aws and try out small applications.
Set of notes with links to help those who are Data Science Beginners
project within udacity
data analysis project with jupyter notebook and python
Training a logistic regression model for classification, that can be used for marketing purposes --> lead scoring
Track the learning process of a linear classifier. Based of Francois Chollet's book "Deep Learning with Python"
1. https://www.shanelynn.ie/merge-join-dataframes-python-pandas-index-1/ || 2. http://pandas.pydata.org/pandas-docs/version/0.19.1/generated/pandas.DataFrame.merge.html
Use the metric r squared to measure the performance of regression models
In this repository, reinforcement learning algorithms are applied on a dataset, that simulates click through rates of different website advertisments. The content is based on the udemy course Machine Learning A-Z.
Scrape data with BeautifulSoup from rottentomatoes.com
use beautifulsoup and directly scrape data from the page rottentomatoes.com
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.