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