Download Resources
1 min
How to Get Queries Resolved
1 min
When to Use Geometric and Harmonic Means
9 min
Measures of Dispersion - Part 1
6 min
Measures of Dispersion - Part 2
4 min
Assignment
1 min
Assignment Solution
1 min
Created by Selva Prabhakaran
30 Video Lessons
English
English captions
Validity Period: 365 days
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8 Modules | 99 Sessions | 7 hour 8 min Total Time
Sessions: 8 | Time: 28 min expand_more
Download Resources
1 min
How to Get Queries Resolved
1 min
When to Use Geometric and Harmonic Means
9 min
Measures of Dispersion - Part 1
6 min
Measures of Dispersion - Part 2
4 min
Assignment
1 min
Assignment Solution
1 min
Sessions: 8 | Time: 58 min expand_more
Course Review
1 min
Assignment
1 min
Assignment Solution
1 min
Sessions: 15 | Time: 58 min expand_more
Representing Missing Values
3 min
Types of Missing Values
4 min
Identifying Missing Values
5 min
Visualize Missing Values with missingno
4 min
When to Drop Rows and Columns
4 min
Approaches to Filling in Missing Data
7 min
Implementing Imputation
8 min
Interpolation
6 min
MICE Predictions - Part 1
4 min
MICE Predictions - Part 2
2 min
MICE Predictions - Part 3
5 min
Validating Missing Value Imputations
5 min
Course Review
1 min
Assignment
1 min
Assignment Solution
1 min
Sessions: 18 | Time: 1 hr 20 min expand_more
What are Outliers and Why They Matter
7 min
Detecting Outliers with Box and Whiskers Plot
8 min
Detecting Outliers with Z Score
4 min
Ways to Treat Outliiers
3 min
Mahalanobis Distance - Part 1
1 min
Mahalanobis Distance - Part 2
9 min
Cooks Distance
9 min
Isolation Forest Algorithm - Part 1
6 min
Isolation Forest Algorithm - Part 2
10 min
Isolation Forest Algorithm - Part 3
4 min
LOF Part 1 Introduction
2 min
LOF Part 2 Problem with simple density
5 min
LOF Part 3 K Distance and Local Reachability Density
4 min
LOF Part 4 Main Concept
3 min
LOF Part 5
3 min
Local Outlier Factor Algorithm - Part 6
2 min
Assignment
1 min
Assignment Solution
1 min
Sessions: 15 | Time: 1 hr 6 min expand_more
Label Encoding
3 min
Need for Feature Encoding
4 min
Label and Ordinal
9 min
One Hot Encoding
6 min
Frequency Encoding
3 min
Target Encoding - Part 1
5 min
Target Encoding - Part 2
6 min
Blending Method- Part 1
10 min
Blending Method- Part 2
3 min
Leave One Out Encoding
2 min
Weights of Evidence and Information Value
7 min
Weights of Evidence for Continuous Dependent
7 min
Course Review
1 min
Assignment
1 min
Assignment Solution
1 min
Sessions: 5 | Time: 10 min expand_more
Need For scaling
3 min
Standardardization and Normalization
4 min
Robust Scaling
3 min
Assignment
1 min
Assignment Solution
1 min
Sessions: 23 | Time: 1 hr 31 min expand_more
Getting started with Matplotlib
1 min
Making your first plot- Part 1
3 min
Color, Marker and Style- Part 2
3 min
Controlling plot components- Part 3
2 min
Plotting two sets of points- Part 4
2 min
Axis Ticks Positions- Part 5
4 min
Anatomy of a Matplotlib Plot- Part 6
9 min
Annotations- Part 7
3 min
Analysing relationships between numeric variables
11 min
Analyzing Distributions Histogram- Part 1
5 min
Bar Charts
5 min
Analysing Distributions Boxplots- Part 2
3 min
Numeric vs Cat Overview- Part 1
5 min
Numeric vs Cat Multi Box Plots- Part 2
1 min
Numeric vs Cat Bubble Plots- Part 3
1 min
Numeric vs Cat Pairs and Trellis- Part 4
7 min
Categorical vs Categorical
3 min
How is Analyzing Time Series different
5 min
Line Plot
2 min
Dual Axis Time Series Plot
5 min
Interpreting ACF and PACF Plots
11 min
Assignment
1 min
Assignment Solution
1 min
Sessions: 7 | Time: 37 min expand_more
EDA Project - Classification Part - 1
10 min
EDA Project - Classification Part - 2
6 min
EDA Project - Classification Part - 3
9 min
EDA Project - Classification Part - 4
8 min
EDA Project - Classification Part - 5
4 min
Assignment
1 min
Assignment Solution
1 min
Future Data Scientists and ML Engineers
Product Managers, Program Managers, Scrum Masters working in ML/Data science project
Software/Data engineers interested in quantitative analysis
Software engineers interfacing with data science team
Executives who have to lead or interact with Data Scientists
Validity Period: 365 days
Already Subscribed? Click here to access your courses