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relataly.com

  • Machine Learning
    • Time-Series-Forecasting
    • Classification (two-class)
    • Classification (multi-class)
    • Anomaly Detection
    • NLP
    • Collaborative Filtering
    • Cluster Analysis
  • Use Cases
    • Stock Market Prediction
    • Sentiment Analysis
    • Churn Prediction
    • Marketing Automation
    • Sales Forecasting
    • Fraud Detection
    • Crime Prevention
    • Risk Assessment
    • Image Recognition
    • Recommender Systems
  • Algorithms
    • CNNs
    • RNNs (LSTM)
    • Random Decision Forests
    • Random Isolation Forest
    • Decision Trees
    • K-Nearest Neighbors (KNN)
    • K-Means
    • Affinity Propagation (Clustering)
    • Logistic Regression
    • Naive Bayes
    • ARIMA
  • Data Science
    • Data Visualization
    • Hyperparameter Tuning
    • Feature Permutation Importance
    • Cross-Validation
    • Correlation
    • Error Metrics
    • Python Environments
    • SQLite
  • Tech
    • Keras
    • Tensorflow
    • PySpark
    • Azure Machine Learning
    • GeoPandas
    • Seaborn
  • APIs
    • Coinmarketcap API
    • Coinbase API
    • Gate.io API
    • Yahoo Finance API
    • Statworx COVID-19 API
    • Twitter API
    • Reddit API
    • Synthetic Data
  • About

Azure Machine Learning

Azure Machine Learning Studio is the main portal in the Microsoft Azure Stack for machine learning purposes. It offers a wide range of functionality covering the entire machine learning lifecycle, from model development to model deployment.

Flight Delay Prediction using Azure Machine Learning

Florian Müller
Flight Prediction Azure Machine Learning

If you travel a lot, you’ve probably already experienced this – you’re in a hurry on your way to the airport trying to catch a flight, only to find out that your flight is delayed. Wasn’t it great to know when a flight will be delayed in advance? We can … Read more

Categories Algorithms, Azure Machine Learning, Classification (two-class), Decision Trees, Logistics Use Cases, Machine Learning, Use Cases
  • visualizing crypto market structure, lasso regression, python, scikit-learn
    Clustering Financial Market Structures using Affinity Propagation in Python
  • random search hyperparameter tuning a regression model python
    Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
  • pyspark tutorial zurich weather analytics
    PySpark Weather Analytics
  • Apache Spark Tutorial Big Data Processing
    Getting Started with Big Data Analytics – Apache Spark Concepts and Architecture
  • classification performance python confusion matrix roc curve
    Measuring Classification Performance with Python and Scikit-Learn
  • multi-output neural networks time series regression
    Stock Market Prediction using Neural Networks for Multi-Output Regression in Python
  • clustering k means python tutorial
    Cluster Analysis with k-Means and Python

Authors

  • 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.

    View all posts

  • Philipp Peron

    Hi, I am a student at the Technical University of Munich and currently pursuing a Masters degree in Electrical Engineering and Information Technology. I am very passionate about Machine Learning, Software Development, and Signal Processing.

    View all posts

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