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Introduction to Univariate Analysis
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How to Get Queries Resolved
Measures of Central Tendency
When to Use Geometric and Harmonic Means
Measures of Dispersion - Part 1
Measures of Dispersion - Part 2
Assignment
Assignment Solution
Significance Tests
Chi Squared Test Theory and Maths
Chi Square Test and Odds Ratio Demo
ANOVA (Maths)
ANOVA Concept (Intuition)
ANOVA Demo
Course Review
Assignment
Assignment Solution
Data Imputation Methods
Representing Missing Values
Types of Missing Values
Identifying Missing Values
Visualize Missing Values with missingno
When to Drop Rows and Columns
Approaches to Filling in Missing Data
Implementing Imputation
Interpolation
MICE Predictions - Part 1
MICE Predictions - Part 2
MICE Predictions - Part 3
Validating Missing Value Imputations
Course Review
Assignment
Assignment Solution
Outlier Detection Approaches
What are Outliers and Why They Matter
Detecting Outliers with Box and Whiskers Plot
Detecting Outliers with Z Score
Ways to Treat Outliiers
Mahalanobis Distance - Part 1
Mahalanobis Distance - Part 2
Cooks Distance
Isolation Forest Algorithm - Part 1
Isolation Forest Algorithm - Part 2
Isolation Forest Algorithm - Part 3
LOF Part 1 Introduction
LOF Part 2 Problem with simple density
LOF Part 3 K Distance and Local Reachability Density
LOF Part 4 Main Concept
LOF Part 5
Local Outlier Factor Algorithm - Part 6
Assignment
Assignment Solution
Feature Encoding Approaches
Label Encoding
Need for Feature Encoding
Label and Ordinal
One Hot Encoding
Frequency Encoding
Target Encoding - Part 1
Target Encoding - Part 2
Blending Method- Part 1
Blending Method- Part 2
Leave One Out Encoding
Weights of Evidence and Information Value
Weights of Evidence for Continuous Dependent
Course Review
Assignment
Assignment Solution
Feature Transformations
Need For scaling
Standardardization and Normalization
Robust Scaling
Assignment
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Plotting for Data Analysis
Getting started with Matplotlib
Making your first plot- Part 1
Color, Marker and Style- Part 2
Controlling plot components- Part 3
Plotting two sets of points- Part 4
Axis Ticks Positions- Part 5
Anatomy of a Matplotlib Plot- Part 6
Annotations- Part 7
Analysing relationships between numeric variables
Analyzing Distributions Histogram- Part 1
Bar Charts
Analysing Distributions Boxplots- Part 2
Numeric vs Cat Overview- Part 1
Numeric vs Cat Multi Box Plots- Part 2
Numeric vs Cat Bubble Plots- Part 3
Numeric vs Cat Pairs and Trellis- Part 4
Categorical vs Categorical
How is Analyzing Time Series different
Line Plot
Dual Axis Time Series Plot
Interpreting ACF and PACF Plots
Assignment
Assignment Solution
Project and Assignment
EDA Project - Classification Part - 1
EDA Project - Classification Part - 2
EDA Project - Classification Part - 3
EDA Project - Classification Part - 4
EDA Project - Classification Part - 5
Assignment
Assignment Solution
Preview - Data Pre-processing and EDA
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