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 the following topics. Watch the …
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From Programmer to Data Scientist – 5 Steps
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 read, keep in mind this …
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How to Perform Linear Regression in Python and R( Similar Results)
In this short lesson, I would teach you how to perform linear regression in Python and R. Its quite easy. But the interesting thing is that we get similar results. …
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Data Science and Machine Learning in Python and R – Course Outline(August 1, 2019)
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 and labs to play with. …
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Basics of Receiver Operating Characteristics (ROC) Curve
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 the True Positive (TP) against …
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Data Science Questions and Answers (Questions 1 to 10)
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, if you would like to …
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Basics of Factor Analysis for Data Scientists
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 of Factor Analysis Steps of …
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What is Likelihood Function in Data Science and Machine Learning?
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 distribution(jpd) of the dataset given …
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Basics of Bayesian Inference
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 this hypothesis be p(H). According …
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Lecture 17 – Multiple Linear Regression
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 we have more than one …
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