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BAG/ DSG

ML - 1 in Python (Freshers) (STAT1-clone)


Description

Introduction to Statistics

Basic concepts

Probability Theory

Descriptive Statistics

Distributions

Hypothesis

Exploratory Data Analysis

Linear Regression

Logistic Regression

Content
  • Introduction to Basic Statistics
  • Measurement Scales
  • Measurement Scales
  • Introduction to Probability in Python
  • Central Tendency in Python
  • Measures of Central Tendency (Optional)
  • Measures of Dispersion (Optional)
  • Distributions in Python
  • Skewness - Video (Optional : Deep Dive)
  • Kurtosis - Video (Optional : Deep Dive)
  • Hypothesis Testing - 1 (Introduction)
  • Hypothesis Testing - 2 (P - Value)
  • Hypothesis Testing - 3 (Z - Test)
  • Hypothesis Testing - 4 (Type 1 error)
  • Hypothesis Testing - 5 (Type 2 error)
  • Chi Square - Goodness of Fit
  • Chi Square - Video
  • Hypothesis Testing in Python
  • Assignment on Descriptive Statistics in Python
  • QQ Plot (Optional)
  • EDA in Python
  • EDA
  • Linear regression in Python
  • Regression - Outliers (Optional)
  • Regression - Stepwise regression (Optional)
  • Assignment 1 (Logistic Regression in Python)
  • Assignment 2 (Linear Regression)
  • Additional Reference Links
  • Statistics Fundamentals
  • Machine Learning
  • Mathematical Aspect Of Machine Learning
  • Mathematics for Data Science 1
  • Mathematics for Machine Learning - Linear Algebra
  • Mathematics for Machine Learning - Multivariate Calculus
  • Essential Mathematics for Machine Learning
  • Introduction to probability and Statistics
  • Mathematics for Machine Learning — Ulrike von Luxburg, 2020/21
  • Engineering Numerical Methods using Python 3
  • Statistical Learning Theory
  • Intuition for the Algorithms of Machine Learning
  • Introduction to linear optimization
  • Introduction
  • Introduction to Probability in Python
  • Central Tendency in Python
  • Distributions in Python
  • EDA in Python -- Implementation
  • Linear Regression Explained - Video
  • Logistic Regression Explained - Video
Completion rules
  • All units must be completed