Kurs zur automatisierten Aufbereitung, Zusammenfassung und Erstellung von Diagrammen tabellarischer Daten mit Python.
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Updated
Mar 10, 2021 - HTML
Kurs zur automatisierten Aufbereitung, Zusammenfassung und Erstellung von Diagrammen tabellarischer Daten mit Python.
Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
A Python based movie recommender hosted using Flask
This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
Machine Learning Project Portfolio
📸Motion Detector Cameras in Python: Explore the world of motion detection with our Python-based camera solution. This repository showcases multiple motion detector implementations with varying frame rates, enabling you to tailor the level of sensitivity and accuracy. With intuitive code.
Building a Spam Filter with Python: Using Machine Learning to Combat Spam
This repo consist of projects on: Data Wrangling, Data Visualization and Machine Learning
Analyze customers using unsupervised learning, PCA and K-Mean Clustering of Arvato dataset
Simple Flask and Bokeh app to be deployed on Heroku
To predict US unemployment rate, API call to scrape data, store on AWS RDS, link to PostgraSQL, 3 ML models to train and test, JavaScript and D3 library to visualize results
Predict donors using supervised learning, ensemble methods and data science
Udacity Data Analyst Nanodegree - Data Visualization Project
This repository contains a collection of pandas tutorials.
Fake News! Detector aims to find a way to weed out the real news from the fake news. We create this machine learning model to identify authentic news from the swam of fake news on social media.
Scripts (.py, .bat) for automated sending of daily email (as .html attachment) of securities' performance (returns) that interest me. ETL from Yahoo Finance.
Model for predicting fraud job ad based on different features using machine learning algorithms
Data analysis and visualization for bike renting company
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