4 min
The train-test split technique is a way of evaluating the performance of machine learning models. Whenever you build machine learning models, you will be...
4 min
“How is machinelearningplus university different from other courses?”. Other courses include those you see on Coursera, Udemy, Udacity, Youtube and courses offered by universities....
8 min
A Data scientist uses Data and AI to solve business problems, is skilled at working with data, extract meaningful insights, using ML to solve...
5 min
Data Scientists turn data to information and information to useful insight. In this one, I look back and reflect on how the profession of...
A cheat sheet of tasks and things to take care of for every end-to-end ML projects. In this, I write down a check list...
15 min
Today, I discuss the Data Science Roadmap, the missing guide to self study machine learning. I’ll discuss what exactly you need to know and...
3 min
Why learn the math behind machine learning algorithms when you can readily implement it using the python libraries like scikit-learn, h2o, statsmodels etc? This...
6 min
Today, I want to discuss some of the common mistakes that programmers make when starting to learn machine learning. But first, let me speak...
11 min
The use cases of machine learning to real world problems keeps growing as ML/AI sees increased adoption across industries. However, there are certain core...
12 min
The size of the data you can load and train in your local computer is typically limited by the memory in your computer. Let’s...
5 min
Granger Causality test is a statistical test that is used to determine if a given time series and it’s lags is helpful in explaining...
3 min
Introduced in 1969 by Clive Granger, Granger causality test is a statistical test that is used to determine if a particular time series is...
9 min
Not all Data Science projects that get kicked-off see the light of day. While this is true for any project, there are common reasons...
3 min
Population stability Index (PSI) is a model monitoring metric that is used to quantify how much the distribution of a continuous response variable has...
Let’s understand the formula for the linear regression coefficients. That is the formula for both alpha and the beta. Now, if you have...
In this lesson, I introduce what Linear regression is all about. Linear Regression is a foundational algorithm for machine learning and statistical...
5 min
Understanding linear regression. Let’s understand what linear regression is all about from a non-technical perspective, before we get into the details, we will first...
6 min
In this guide, you will understand the steps to deploy your ML model app in Amazon EC2 service. Here the ML app is a...
4 min
Decorators in python allow you to dynamically change the functionality of another function, without altering it’s code. What? Is that possible? Yes. This covers:...
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