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TRACK
4.40
Classification in Depth with Scikit-Learn
Browse all the projects contained in this Skill Track
Introduction to Classification Algorithms
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Verónica Barraza
Hyperparameter Tuning for a Random Forest Classifier
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Verónica Barraza
Different types of Cross-validation in Machine Learning
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Verónica Barraza
K-Nearest Neighbor algorithm for classification
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Verónica Barraza
Binary Classification: Programming Exercise
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Verónica Barraza
Evaluation metrics for classification
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Verónica Barraza
Logistic Regression
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Verónica Barraza
Binary Classification
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Verónica Barraza
Underfitting and Overfitting
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Verónica Barraza
Introduction to Support Vector Machines (SVM) and hands-on practice
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Verónica Barraza
Home Loan Approval
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Verónica Barraza
Cure The Princess
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Verónica Barraza
How Naive Bayes Classifier works?
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Verónica Barraza
Classifying Legendary Pokemons using Naive Bayes and Decision Trees
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Matias Caputti
Introduction to Ensemble Learning and Bagging
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Verónica Barraza
Random Forest Algorithm
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Verónica Barraza
How to code a decision tree in Python from scratch ?
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Verónica Barraza
Drug Classification Using Machine Learning Models
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Verónica Barraza
Practicing classification with Hotel Reservations
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Santiago Basulto
Ensemble of decision trees: XGBoost
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Verónica Barraza
Banking classification
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Jawad haider
Banknote Authentication
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Verónica Barraza
Spaceship Titanic
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Verónica Barraza
Predicting intergalactic transportations with Spaceship Titanic [Guided]
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Santiago Basulto
Supervised machine learning classification: Customer Churn prediction
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Verónica Barraza
Supervised machine learning classification: Customer Churn prediction (not guided )
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Verónica Barraza
Simple Model Tests
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Verónica Barraza
Simple Model Tests: performance evaluations
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Verónica Barraza
Quiz Time: How Much Do You Know?
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Verónica Barraza
Feature Engineering
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Verónica Barraza
Blood transfusion service
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Verónica Barraza
