About Art of Stat: Machine Learning
The Art of Stat: Machine Learning app includes methods for supervised and unsupervised learning, lets you split data into training and test sets, visualizes all methods, including predictions and heatmaps, and lets you assess the accuracy of your algorithm by showing the confusion matrix and more.
Included ML algorithms so far include:
- Multiple Linear Regression
- Discriminant Analysis (Linear & Quadratic)
- Naive Bayes
- K-Means Clustering
Soon to be released:
-Multiple Logistic Regression
-Decision Trees & Random Forests
Functionality:
- Provides various datasets (Palmer Penguins, Wine Quality, Heart Disease, Iris Flowers, Credit Card Defaults, ...) or lets user upload their own CSV file
- Split data into training and test sets
- Standardize Features
- Select continuous and/or categorical features (where appropriate)
- Visualize all methods (Scatterplots, Heatmaps)
- Assess Accuracy by displaying Confusion matrix and accuracy statistics in multiple ways
- Make predictions for new observations
Included ML algorithms so far include:
- Multiple Linear Regression
- Discriminant Analysis (Linear & Quadratic)
- Naive Bayes
- K-Means Clustering
Soon to be released:
-Multiple Logistic Regression
-Decision Trees & Random Forests
Functionality:
- Provides various datasets (Palmer Penguins, Wine Quality, Heart Disease, Iris Flowers, Credit Card Defaults, ...) or lets user upload their own CSV file
- Split data into training and test sets
- Standardize Features
- Select continuous and/or categorical features (where appropriate)
- Visualize all methods (Scatterplots, Heatmaps)
- Assess Accuracy by displaying Confusion matrix and accuracy statistics in multiple ways
- Make predictions for new observations
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