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