Principal Component Analysis
Idea behind PCA: Principal Component Analysis is one of the dimensionality reduction techniques. If you are unsure of what is the need to reduce di…
Idea behind PCA: Principal Component Analysis is one of the dimensionality reduction techniques. If you are unsure of what is the need to reduce di…
Before learning regression concepts we recommend you to go through the requisite mathematics such as vectors & Linear Algebra etc. Follow this li…
Before understanding Types of Hypothesis we must understand the below concepts. What is Population : In statistics, a population is a set of simil…
Here we are discussing a few very common types of probability distributions. They are: Normal Distribution : Normal distribution is a type of continu…
As we build a model to fit our data, we use training sample to train the model. From the training sample a portion of data is held out separately so …
Central Limit Theorem: If X is the random variable of a population distribution having finite [1] population mean ( u ) & finite variance ( σ² )…
