Statistics and Probability Concepts Photo by Mikael Blomkvist from Pexels In machine learning, statistics and probability play an important role. Whenever we infer population parameters from

# Category: Statistics

## Hypothesis Testing- Test of Mean, Variance, Proportion

Statistics p-value approach, critical value approach, confidence interval approach Photo by Pixabay from Pexels Hypothesis Testing Hypothesis testing is used to determine whether the assumption about the

## Central Limit Theorem — Clearly Explained

Sampling Distributions, Standard Error Photo by Archie Binamira from Pexels Central Limit Theorem Central Limit Theorem is one of the important concepts in Inferential Statistics. Inferential Statistics means

## Inferential Statistics for Data Science

Basics of Probability, Probability Distributions Inferential Statistics Inferential Statistics allows you to make predictions(inferences) from data. Most often, we will work with a large amount

## Confusion Matrix — Clearly Explained

Confusion Matrix In machine learning, the confusion matrix helps to summarize the performance of classification models. From the confusion matrix, we can calculate many

## Correlation Coefficient — Clearly Explained

Correlation Coefficient In machine learning, before we generate any model, we need to understand the relationship between independent variables and the target variable. The correlation