Overview

Title	Algorithm	Problem Type	Use Case	Domain	Data Source	Packages	Type	Published	Focus
Accessing Public Data Sources via APIs in Python					COVID-19, Yahoo Finance	Pandas Datareader	Python Tutorial		Using the COVID API
Advanced Sentiment Analysis using BERT in Python							Python Tutorial
Classifying Cats and Dogs - Introduction to Image Recognition in Python	Convolutional Neural Network	Two-Class Classification	Image Recognition	Image Recognition General	Kaggle	Keras	Python Tutorial		Image Recognition
Classifying Shopper Buying Intention in Python	Random Decision Forest	Two-Class Classification	Buying Intention Prediction	Marketing	Kaggle	Sklearn	Python Tutorial		Random Decision Forests
Color-Coded Cryptocurrency Price Charts in Python	-	-	Stockmarket Forecasting	Finance	Yahoo Finance	Keras, Sklearn	Python Tutorial		Data Visualization
Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?		Correlation	Visualizing COVID-19 Data	Crisis	COVID-19	Pandas Datareader	Python Tutorial		Correlation
Feature Engineering for Multivariate Time Series Prediction in Python	Recurrent Neural Network (LSTM)	Multi-Variate Time Series Regression	Stockmarket Forecasting	Finance	Yahoo Finance	Keras, Sklearn	Python Tutorial		Multi-Variate Neural Network Models
Fetching Data from the Twitter API using Python	-	-		Social Media	Twitter	Sklearn	Python Tutorial		Twitter API
Flight Delay Prediction using Azure Machine Learning	Logistic Regression	Two-Class Classification	Predicting Flight Delays	Logistics	Azure	Azure Machine Learning	Azure Machine Learning Tutorial		Microsoft Azure Machine Learning
Forecasting Beer Sales using ARIMA and Python	ARIMA	Single-Variate Time Series Regression	Sales Data	Marketing	Kaggle	Sklearn	Python Tutorial		ARIMA
Forecasting Criminal Activities in San Francisco in Python	XGBoost (Random Forest)	Multi-Class Classification	Crime Categories	Crime/Security	Kaggle	XGBoost, Sklearn	Python Tutorial	08.04.2021	XGBoost
Getting Started with the Anaconda Python Environment for Machine Learning	-	-	-		-		Anaconda Tutorial		Setup Anaconda
Hyperparameter-tuning using Grid Search in Python	Random Decision Forest	Two-Class Classification	Predicting Survival on Titanic Passenger	Crisis	Kaggle		Python Tutorial		Hyper Parameter Tuning, Grid-Search
Predicting Customer Churn of a Telecommunications Provider in Python	Random Decision Forest	Two-Class Classification	Churn Prediction	Marketing	Kaggle		Python Tutorial		Churn Prediction
Python Cheat Sheet: Measuring Prediction Errors in Time Series Forecasting	-	-	Time Series Forecasting	Finance	-	Keras, Sklearn	Cheat Sheet		Measuring Prediction Error in Time Series Prediction
Simple Sentiment Analysis using Bayes and Logistic Regression in Python	Bayes, Logistic Regression	Multi-Class Classification	Sentiment Analysis	Finance	Kaggle	Sklearn	Python Tutorial		Sentiment Analysis, Natural Language Processing
Stock Market Prediction - Building a Univariate Model using Keras Recurrent Neural Networks in Python	Recurrent Neural Network (LSTM)	Single-Variate Time Series Regression	Stockmarket Forecasting	Finance	Yahoo Finance	Pandas Datareader	Python Tutorial		Building Univariate Prediction Models
Stock Market Prediction using Multivariate Time Series Models in Python	Recurrent Neural Network (LSTM)	Multi-Variate Time Series Regression	Stockmarket Forecasting	Finance	Yahoo Finance	Keras, Sklearn	Python Tutorial		Multi-Variate Neural Network Models
Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python	Recurrent Neural Network (LSTM)	Single-Variate Time Series Regression	Stockmarket Forecasting	Finance	Yahoo Finance	Pandas Datareader	Python Tutorial		Changing Prediction Intervals in Time Series Prediction
Time Series Forecasting - Creating a Multi-Step Forecast in Python	Recurrent Neural Network (LSTM)	Single-Variate Time Series Regression	Stockmarket Forecasting	Finance	Yahoo Finance	Pandas Datareader	Python Tutorial		Multi-Step Time Series Prediction
Time Series Forecasting - Measuring Model Performance in Python	Recurrent Neural Network (LSTM)	Single-Variate Time Series Regression	Time Series Forecasting	Finance	Yahoo Finance	Keras, Sklearn	Python Tutorial		Measuring Model Performance
Visualizing COVID-19 Cases on a Heat Map using GeoPandas and Python				Crisis	COVID-19	GeoPandas	Data Visualization		Visualizing geographic data

Florian Müller

Hi, I am Florian, a Zurich-based consultant for AI and Data. Since the completion of my Ph.D. in 2017, I have been working on the design and implementation of ML use cases in the Swiss financial sector. I started this blog in 2020 with the goal in mind to share my experiences and create a place where you can find key concepts of machine learning and materials that will allow you to kick-start your own Python projects.

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