## Plotting Tutorial in Python with Matplolib.pyplot – Part 1

In this practical lesson, I would teach you how to plot in Python. You will learn about plotting in Python with Matplotlib.pyplot. So, we’ll cover …

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# Category: Data Science

## Plotting Tutorial in Python with Matplolib.pyplot – Part 1

## From Programmer to Data Scientist – 5 Steps

## How to Perform Linear Regression in Python and R( Similar Results)

## Data Science and Machine Learning in Python and R – Course Outline(August 1, 2019)

## Basics of Receiver Operating Characteristics (ROC) Curve

## Data Science Questions and Answers (Questions 1 to 10)

## Basics of Factor Analysis for Data Scientists

## What is Likelihood Function in Data Science and Machine Learning?

## Basics of Bayesian Inference

## Machine Learning 101 – Multiple Linear Regression

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In this practical lesson, I would teach you how to plot in Python. You will learn about plotting in Python with Matplotlib.pyplot. So, we’ll cover …

If you are a programmer, then I have some good news for you! This applies if you are a Software/Application Developer or Engineer. As you …

In this short lesson, I would teach you how to perform linear regression in Python and R. It’s quite easy. But the interesting thing is …

This course kicks off August 1, 2019. It will run for 6 to 8 weeks. Download Course Outline in Excel You will find much practicals …

A Receiver Operating Characteristics (ROC) Curve is used to describe the trade-off between correct classifications and wrong classifications. The ROC curve displays a plot of …

I’m providing set to data science question and answers. The answers would be clear and brief for anyone to understand no matter your field. However, …

This tutorial would cover Exploratory Factor Analysis. We would cover the following sub-topics: What is Factor Analysis(FA) Difference between Exploratory FA and Confirmatory FA Application …

I will try to explain Likelihood Function in very clear and simple terms. Likelihood Function in Machine Learning and Data Science is the joint probability …

Bayesian Inference is simply a way of making statistical inference by applying Bayes’ Theorem. Assuming there is a particular hypothesis H. Let the probability of …

You already know of Simple Linear Regression. You also know of Logistic Regression. Now we would discuss Multiple Linear Regression. This is a case where …