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relataly.com

  • AI
    • Simple Regression
    • Classification: Two Class
    • Classification: Multi-Class
    • Clustering
    • Time Series Forecasting
    • Anomaly Detection
    • Natural Language
    • Recommender Systems
    • Reinforcement Learning
    • Responsible AI
  • Use Cases
    • Stock Market Forecasting
    • Algorithmic Trading
    • Sentiment Analysis
    • Churn Prediction
    • Fraud Detection
    • Predictive Maintenance
    • Marketing Automation
    • Customer Segmentation
    • Sales Forecasting
    • ChatBots
    • Fighting Crime
    • Risk Management
    • Image Recognition
  • Algorithms
    • CNNs
    • RNNs (LSTM)
    • Decision Trees
    • Random Decision Forests
    • Random Isolation Forest
    • Local Outlier Factor
    • Gradient Boosting
    • Collaborative Filtering
    • Content-based Filtering
    • K-Nearest Neighbors
    • K-Means
    • Affinity Propagation
    • Agglomerative Clustering
    • Logistic Regression
    • Naive Bayes
    • ARIMA
  • Data Science
    • Exploratory Data Analysis
    • Feature Engineering
    • Hyperparameter Tuning
    • Dimensionality Reduction
    • Model Interpretation
    • Data Visualization
    • Correlation
    • Measuring Performance
    • Cross-Validation
    • Vector Databases
    • SQLite
    • Data Science Environments
      • Anaconda
      • Azure Machine Learning
    • Python Libraries
      • Scikit-Learn
      • Tensorflow
      • Keras
      • Pytorch
      • PySpark
      • Chainer
      • OpenAI Gym
      • Seaborn
      • Fairlearn
      • Facebook Prophet
      • GeoPandas
  • Data & APIs
    • OpenAI API
    • REST APIs
    • NewsAPI
    • Coinmarketcap API
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    • Gate.io API
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Multivariate Models

Multivariate models are mathematical models that involve multiple variables or factors. They are used to describe and analyze the relationships between different variables, and to make predictions or inferences based on these relationships. Multivariate models are commonly used in many fields, including statistics, economics, finance, and engineering, to study complex systems and phenomena. Multivariate models can provide valuable insights and predictions, but they can also be complex and difficult to interpret. It is important to carefully select and validate the appropriate model, and to consider the limitations and assumptions of the model when interpreting the results.

predictive maintenance python machine learning tutorial iot manufacturing

Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python

May 27, 2023January 8, 2023

Predictive maintenance is a game-changer for the modern industry. Still, it is based on a simple idea: By using machine … Read more

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Feature Engineering and Selection for Regression Models with Python and Scikit-learn

May 27, 2023September 26, 2022

Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients … Read more

Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python

May 27, 2023April 7, 2022

Perfecting your machine learning model’s hyperparameters can often feel like hunting for a proverbial needle in a haystack. But with … Read more

time series prediction machine learning python tutorial relataly midjourney

Stock Market Forecasting Neural Networks for Multi-Output Regression in Python

May 27, 2023July 13, 2021

Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the … Read more

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Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud

May 27, 2023June 16, 2021

Credit card fraud has become one of the most common use cases for anomaly detection systems. The number of fraud … Read more

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Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python

May 27, 2023March 7, 2021

In this tutorial, we’ll be using machine learning to predict and map out crime in San Francisco. We’ll be working … Read more

churn prediction python

Customer Churn Prediction – Understanding Models with Feature Permutation Importance using Python

May 27, 2023August 2, 2020

Customer retention is a prime objective for service companies, and understanding the patterns that lead to customer churn can be … Read more

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Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python

May 27, 2023June 1, 2020

Regression models based on recurrent neural networks (RNN) can recognize patterns in time series data, making them an exciting technology … Read more

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Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python

May 27, 2023April 19, 2020

Many time forecasting problems can be solved by predicting just one step into the future. However, some problems require a … Read more

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