## A Tip A Day – Python Tip #8: Why should we Normalize image pixel values or divide by 255?

In our previous post A Tip A Day – Python Tip #7: OpenCV – CV2: imread() and resize(), we have explored a simple image and its pixel values. Why divide image by 255? The pixel values can range from 0…

## Deep Learning – Classification Example

Deep Learning Classification Problem - Example with sklearn breast cancer dataset - Model Creation and Evaluation

## Artificial Neural Network Explained with an Regression Example

In this article, we are going to discuss about the basics of Implementing a simple Artificial Neural Network (ANN) with an example.

## How Neurons work? and How Artificial Neuron mimics neurons of human brain?

We will learn about the basic idea of Artificial Neural Network and how the idea is extracted from our human brain.

## Artificial Intelligence – A brief Introduction and history of Deep Learning

What is Artificial Intelligence (AI)? Machine Learning, Neural Network, Natural Language Processing (NLP), A brief history of Deep learning.

## A Tip A Day – Python Tip #6 – Pandas Merge

Pandas concat & append works like an array concatenation either column wise or row wise. But Merge & Join works similar to Database table joins. Lets see Merge in this article and learn about Join in next post! So, Merge…

## Inferential Statistics – Hypothesis Testing Part #1

In Inferential Statistics, there are ways to test and validate our results from an experiment. These methods are called Hypothesis Testing and it can be categorized into two parts. Parametric Testing: This type of tests make assumptions about the Population parameters…

## Inferential Statistics – Hypothesis

What is a Hypothesis Testing? The hypothesis is an assumption which is tested to determine whether the assumption is true or not. Hypothesis Testing is a process of testing the assumption. When we do the interpretation, we use statistical methods that provide a…

## A Tip A Day – Python Tip #5 – Pandas Concat & Append

In this article we are going to learn about Concat & Append and the comparision between these two functions. Lets take 2 dataframes of fruits. Output: orange apple grapes 0 3 0 7 1 2 3 14 2 0 7…