philippecodes Goto Github PK
Name: Philippe Walliser
Type: User
Company: Roche
Bio: Data Scientist
Location: Switzerland
Philippe Walliser's Projects
advanced-regression-techniques
Using various Regression Techniques in order to build a Model to predict Housing Prices in Ames as Part of the EPFL Applied Machine Learning Course
autokeras
accessible AutoML for deep learning.
cyclegan-fifa
🎮 Turn FIFA 20 Gameplay into real life Football using a CycleGAN
deep-learning-leaf-classification
Building and comparing a variety of Deep Learning Models for Leaf Species Classification
getting-long-term-daily-google-trends-data.ipynb
This is a simple template to retrieve (adjusted) daily google trends data (gtrends) for periods of times that are longer than 90 days.
image-classifier
Using and testing different Machine Learning Techniques to classify Images as Part of the EPFL Applied Machine Learning Course
open-food-facts-data-analysis
Analyzing the Open Food Facts Dataset as Part of the EPFL Applied Machine Learning Course
restaurant-revenue-prediction
Predicting the Revenue of a Restaurant which shall not be named
twitter-pronoun-retweet-graph-analysis
This is a comprehensive Analysis of a large Twitter Retweet Graph in which we try to investigate differences in users that do and do not specify their preffered gender-pronoun in their twitter-Bio
web-scraping-futbin.com
We Scrape the Time-Series Price-Data from Futbin.com for every Fifa 19 Player
web-scraping-pubmed
This Python Program takes a keyword and outputs n abstracts + bibliographies from PubMed
world-happiness-report-data-analysis
Analyzing the World Happiness Report Dataset as Part of the EPFL Applied Machine Learning Course
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