Univariate Stock Market Forecasting using Facebook Prophet in Python
This tutorial gives an overview of Facebook Prophet and shows how to use the framework in Python to create a univariate time series forecast.
#Supervised Learning
17 tutorials
Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python
This article shows how to employ a bag of words model and cosine similarities to create a content-based movie recommender with Python.
Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
Learn how to use Random Search to tune the model hyperparameters of a Random Forest with Python that predicts house sale prices.
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
This tutorial develops and evaluates a Keras multi-output regression model that forecasts ten future Apple trading sessions in one pass.
Classifying Reported Crime Categories in San Francisco with Python
Build and evaluate a reproducible multiclass model for historical San Francisco incident categories, including responsible-use limitations.
Forecasting Beer Sales with ARIMA in Python
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
Image Classification with Convolutional Neural Networks - Classifying Cats and Dogs in Python
Learn about image classification with deep learning and develop a convolutional neural network that distinguishes between cats and dogs!
Customer Churn Prediction - Understanding Models with Feature Permutation Importance using Python
This tutorial shows how to build a customer churn prediction model in telecommunications. We will use Python and measure feature importance.
Tuning Model Hyperparameters with Grid Search at the Example of Training a Random Forest Classifier in Python
Learn how to tune the model hyperparameters of a Random Forest that predicts the survival of Titanic passengers using grid search in Python.
Feature Engineering for Multivariate Time Series Models with Python
Test causal technical indicators in a leakage-free NASDAQ forecasting experiment with Python, Keras, and chronological evaluation.
Training a Sentiment Classifier with Naive Bayes and Logistic Regression in Python
A compact, reproducible sentiment-analysis example using synthetic text data, TF-IDF features, and a comparison of Naive Bayes and Logistic Regression.
Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python
This tutorial builds and evaluates a Keras multivariate LSTM that forecasts the next-session NASDAQ Composite return.
Classifying Purchase Intention of Online Shoppers with Python
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.
Measuring Regression Errors with Python
Learn six regression error metrics, their limitations, and how to evaluate a time series model against a baseline with Python and scikit-learn.
Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python
This tutorial shows how to create and evaluate a recursive multi-step forecast for a rising sine curve using Keras LSTM layers in Python.
Stock Market Prediction using Univariate Recurrent Neural Networks (RNN) with Python
This article shows how to train a univariate neural network model for stock market forecasting with Python and Scikit-learn.
Flight Delay Prediction using Azure Machine Learning
Want to learn about flight delay prediction? This tutorial develops a classifier in Azure Machine Learning that predicts flight delays.