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Martin Tschendel's Projects

ab-test icon ab-test

Conducting an AB-Test for an e-commerce website

airqualityindex icon airqualityindex

Gathering and Analyzing Data from the World Air Quality Index Project

artificialneuralnetwork icon artificialneuralnetwork

Applying deep learning and build an artificial neural network with tensorflow, what makes predictions on the churning probabilities of bank customers.

bikesharing icon bikesharing

Visual exploration of data from the Ford GoBike and Citibike sharing systems, covering the greater San Francisco Bay area and New York.

churn icon churn

Using logictic regression for classification to predict if persons would churn from the services of a telecom company.

classification-buy-suv icon classification-buy-suv

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

crud icon crud

use python to realize CRUD statements for mysql and sqlite3

leads icon leads

Training a logistic regression model for classification, that can be used for marketing purposes --> lead scoring

pandas-merge icon pandas-merge

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

reinforcement-learning icon reinforcement-learning

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.

rotten-tomatoes2 icon rotten-tomatoes2

use beautifulsoup and directly scrape data from the page rottentomatoes.com

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