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TRACK
4.56
Introduction to Supervised Learning with scikit-learn
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Browse all the projects contained in this Skill Track
Test and train set for classification
Verónica Barraza
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Understanding Target and Features for classification
Verónica Barraza
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Can you classify the monsters that are haunting?
Verónica Barraza
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Understanding Target and Features for regression
Verónica Barraza
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Happiness Classification
Verónica Barraza
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Linear regression
Verónica Barraza
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Multiple linear regression: CO2 emissions in vehicles
Verónica Barraza
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Auto MPG Dataset
Verónica Barraza
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Regression Models Evaluation Metrics
Verónica Barraza
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Classification Evaluation metric
Verónica Barraza
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Performance Metric - A Simple Practice
Verónica Barraza
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Introduction to Feature Engineering with Simulated Dataset
Verónica Barraza
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Identifying Good Features for Machine Learning
Verónica Barraza
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Dealing with missing data
Verónica Barraza
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Dealing with duplicated data
Verónica Barraza
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NBFI Vehicle Loan Repayment Dataset
Verónica Barraza
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Intro to Scikit Learn
Verónica Barraza
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Difference between Model Parameter and Hyperparameter
Verónica Barraza
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GridSearchCV and RandomizedSearchCV
Verónica Barraza
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Why hyperparameter tuning is important ?
Verónica Barraza
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Intro to Scikit Learn Assessment
Verónica Barraza
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Cross-validation techniques
Verónica Barraza
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Model Usage
Verónica Barraza
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Model Parameters and Hyperparameters Overview
Verónica Barraza
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Introduction to Overfitting and Underfitting
Verónica Barraza
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Save a model
Verónica Barraza
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