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