# 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…

# Logistic Regression: Essential Things to Know

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

• The Basic Assumptions
• Working of the Logistic Regression
• Feature Scaling Is Required?
• Impact of Missing Values & Outliers
• Applications of Logistic Regression
• Implementation of Logistic Regression in Python

# The Basic Assumptions

Linear Relation between independent features and the log odds.

# Working of the Logistic Regression

Logistic regression is…

# Decision Trees: Essential Things to Know

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

• The Basic Assumptions
• Basic Terminologies
• Working of the Decision Trees
• Feature Scaling Is Required?
• Impact of Missing Values & Outliers
• Applications of Decision Trees
• Implementation of Decision Trees in Python

# The Basic Assumptions

There are no such assumptions.

# Basic Terminologies

## Entropy

A decision tree is built…

# Linear Regression: Essential Things to Know

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

• The Basic Assumptions
• Working of the Linear Regression Algorithm
• Feature Scaling Is Required?
• Impact of Missing Values & Outliers
• Applications of Linear Regression
• Implementation of Linear Regression in Python

# The Basic Assumptions

There are four assumptions associated with a linear regression model:

1. Linearity…

# Naive Bayes Classifier: Essential Things to Know

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

• The Basic Assumptions
• Working of the Naive Bayes Algorithm
• Feature Scaling Is Required?
• Impact of Missing Values & Outliers
• Applications of Naive Bayes
• Implementation of Naive Bayes in Python

# The Basic Assumptions

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

# Getting Started With Writing!

• 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…

# Successor to GPT-3: Google’s Trillion Parameter Language Model

Earlier in January 2021, Google announced the development of a Language Model.

It contains more than 1 trillion parameters.

If you are not sure what parameters mean, please stick till the end and you’ll find out.

• What Are Parameters?
• How Was It Developed?
• What Are the…

# Afghan Army Vs. Taliban: Panic and Disbelief

It is a tale of two armies, one is poorly equipped but highly “motivated”.

The other is nominally equipped but dependent on the support of NATO, poorly led and riddled with corruption.

The strength of Taliban is said to be 80,000 troops.

While the troops serving Afghan army is said…

# Getting Started With Python!

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…

# Save Your Rivers For Another Day!

It’ll surely take us one step closer to our goal of preserving the rivers. 