Be well prepared

Photo by Edge2Edge Media on Unsplash

Central Tendency

Central tendency is a descriptive summary of a dataset through a single value that reflects the center of the data distribution.

Along with the variability (dispersion) of a dataset, central tendency is a branch of descriptive statistics.

The central tendency is one of the most quintessential concepts in statistics.

Although…

BE WELL PREPARED

Let’s get started one-by-one, covering the below points.

  • The Basic Assumptions
  • Working of the Logistic Regression
  • Advantages
  • Disadvantages
  • Feature Scaling Is Required?
  • Impact of Missing Values & Outliers
  • Applications of Logistic Regression
  • Implementation of Logistic Regression in Python
Photo by Philippe Bout on Unsplash

The Basic Assumptions

Linear Relation between independent features and the log odds.

Working of the Logistic Regression

Logistic regression is…

BE WELL PREPARED

Let’s get started one-by-one, covering the below points.

  • The Basic Assumptions
  • Basic Terminologies
  • Working of the Decision Trees
  • Advantages
  • Disadvantages
  • Feature Scaling Is Required?
  • Impact of Missing Values & Outliers
  • Applications of Decision Trees
  • Implementation of Decision Trees in Python
Image by Gerd Altmann from Pixabay

The Basic Assumptions

There are no such assumptions.

Basic Terminologies

Entropy

A decision tree is built…

Be Well Prepared

Let’s get started one-by-one, covering the below points.

  • The Basic Assumptions
  • Working of the Linear Regression Algorithm
  • Advantages
  • Disadvantages
  • Feature Scaling Is Required?
  • Impact of Missing Values & Outliers
  • Applications of Linear Regression
  • Implementation of Linear Regression in Python
Photo by Markus Winkler on Unsplash

The Basic Assumptions

There are four assumptions associated with a linear regression model:

  1. Linearity…

Be Well Prepared

Let’s get started one-by-one, covering the below points.

  • The Basic Assumptions
  • Working of the Naive Bayes Algorithm
  • Advantages
  • Disadvantages
  • Feature Scaling Is Required?
  • Impact of Missing Values & Outliers
  • Applications of Naive Bayes
  • Implementation of Naive Bayes in Python
Photo by Naser Tamimi on Unsplash

The Basic Assumptions

The Naive Bayes Classifier assumes that the presence of a particular…

Know Your Favorite Writing Genre

Please read till the end to get the most value out of this article.

This article includes the following:

  • Genres of Writing You Might Want to Explore
  • Basic Things to Consider While Choosing a Topic to Write About
  • Tips For Becoming A Better Writer
  • At the end: Some Resources for…

Complete Roadmap!

If you are a beginner or somewhere stuck in between the learning process, here is a complete roadmap to learn Python.

Please read till the end to get full benefit of the article.

Also, share with your friends/colleagues. You’ll learn twice as much that way.

  1. Documentation
  2. Choose an Editor
  3. Choose…

Praveen Pareek

Data Scientist and former Physics Faculty who found his true passion for data. I like to share a different perspective for many issues! “The Other Perspective!”

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store