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
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