Why is it important to understand the assumptions of Linear Regression..?

ANSCOMBE’S QUARTET

A set of four different data sets that look completely distinctive from each other but had the same regression line. [ y = 0.5x + 3 ]
They also had the same mean for both x and y…

The concept of Conditional Probability forms the basis of Bayes Theorem. Bayes Theorem forms the concept of Naive Bayes Classifier.

A simple formulation of Conditional Probability

How do we read this above equation…?

Suppose we have two events A and B.
Finding out the probability of A, given that event B…

Conditional Probability forms the basis of Bayes’ Theorem.
The formula for Bayes’ Theorem

Let’s try to understand how do we derive the above formula,

Consider we have two events A and B.
And we have two conditions :
P ( A | B ) : probability of A given that B has…

As we all know Machine Learning consists of three types of learning; Supervised learning, Unsupervised learning, Reinforcement learning, and
Support Vector Machine or SVM lies in the category of Supervised learning.
SVM is a kind of supervised learning used for Classification and Regression analysis.

To understand how it helps in…

Tulsipatro

Data Scientist - In - Progress

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