Tag Archives: tabular data analytics

Telco Churn Modelling using Bagging algorithm in R

Hits: 48  Telco Churn Modelling using Bagging algorithm in R   In this Learn by Coding example, we will learn how to predict telco churn using bagging algorithms in R. This example is useful for beginners who has excel background and wish to learn Python programming as well as R programming. Free Machine Learning & …

Data Analytics – EASY CORRELATION MATRIX ANALYSIS IN R

Hits: 64 EASY CORRELATION MATRIX ANALYSIS IN R USING CORRR PACKAGE   This article describes how to easily compute and explore correlation matrix in R using the corrr package. The corrr package makes it easy to ignore the diagonal, focusing on the correlations of certain variables against others, or reordering and visualizing the correlation matrix. It can also compute …

Python tutorials for Business Analyst – Python Namespace and Scope

Hits: 39 (Python Tutorial – 009) Python Namespace and Scope In this tutorial, you will learn about namespace, mapping from names to objects, and scope of a variable.   What is Name in Python? If you have ever read ‘The Zen of Python’ (type import this in the Python interpreter), the last line states, Namespaces are one honking …

Business Analytics – Why it in important to any Business

Hits: 121 Definition: What is Business Analytics? Business analytics is the process of collating, sorting, processing, and studying business data, and using statistical models and iterative methodologies to transform data into business insights. The goal of business analytics is to determine which datasets are useful and how they can be leveraged to solve problems and …

Machine Learning in R | Classification | Data Science for Beginners | IRIS | LDA | CARET tutorials

Hits: 237   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 R programming: Machine Learning in R | Classification | Data Science for Beginners | IRIS | LDA | CARET tutorials. What should I learn from this …

How to apply sklearn decision tree algorithm to yeast dataset for multiclass classification

Hits: 120   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 yeast dataset for multiclass classification. What should I learn from this recipe? You will learn: How …

Multi-class Classification using GaussianNB, MultinomialNB, BernoulliNB classifiers

Hits: 107   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: Multi-class 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 apply CatBoost Classifier to adult income data

Hits: 144   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 CatBoost Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load and …

How to apply XGBoost Classifier to adult income data

Hits: 72   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 XGBoost Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load and …

How to compare Bagging ensembles in Python using adult income dataset

Hits: 50   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, …