Statistics : Foundation of Machine Learning
Introduction to Statistics Overview of Python & its libraries Descriptive Statistics Probability and Distributions Inferential Statistics
1 Modules
03:07:08
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Certificate on completion
·Introduction to Statistics·Overview of Python & its libraries·Descriptive Statistics
Central Tendency, Dispersion & Visualization (hands on – excel & python)
·Probability and Distributions
Normal, Binomial & Poisson Distribution (hands on – excel & python)
·Inferential Statistics
Hypothesis testing (t-tests)
Confidence Interval
1 Modules
17 Lectures
Statistics : Foundation of ML
00:05:18
Introduction to Statistics
00:10:16
Overview of Python
00:10:45
Loop function in Python
00:06:30
Conditional Statements & Visualization in Python
00:15:53
Descriptive Statistics : Central Tendency
00:12:11
Descriptive Statistics : Dispersion
00:12:23
Descriptive Statistics : Visualization
00:10:48
Data Distributions - Basics
00:08:03
Probability Distribution
00:08:49
Normal Distribution
00:13:38
Z - Score
00:03:23
Binomial Distribution
00:16:18
Poisson Distribution
00:15:42
Bayes' Theorem
00:11:57
Inferential Statistics
00:12:42
t - tests
00:12:32
