Day: April 2, 2020

How to compare Bagging ensembles in Python using adult income dataset

Hits: 10   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to compare Bagging ensembles in Python using adult income dataset. What should I learn from this recipe? You will learn: How to install, …

How to apply sklearn Extra Tree Classifier to adult income data

Hits: 2   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming:How to apply sklearn Extra Tree Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load …

How to apply sklearn Random Forest Classifier to adult income data

Hits: 4   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming:How to apply sklearn Random Forest Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load …

How to apply sklearn Bagging Classifier to adult income data

Hits: 8   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming:How to apply sklearn Bagging Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load and …

How to apply sklearn decision tree algorithm to adult income data

Hits: 11   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to apply sklearn decision tree algorithm to adult income data. What should I learn from this recipe? You will learn: How to install, …

Binary Classification using GaussianNB, MultinomialNB, BernoulliNB classifiers

Hits: 5   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: Binary Classification using GaussianNB, MultinomialNB, BernoulliNB classifiers. What should I learn from this recipe? You will learn: How to install, load and describe Penn …

How to use sklearn Naive Bayes Classifier in Binary Classification

Hits: 3   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to use sklearn Naive Bayes Classifier in Binary Classification. What should I learn from this recipe? You will learn: How to install, load …

How to install, load and describe Penn Machine Learning Benchmarks

Hits: 4   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to install, load and describe Penn Machine Learning Benchmarks. What should I learn from this recipe? You will learn: How to install, load …