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36:53

Boosting Part 2

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Boosting Part 1

02:35:04

Random Forest using R

22:22

Python Programming for Data Science | Modules and Packages | import modules - math, os, sys

32:46

Python Programming for Data Science | Data Structures - List, Tuple, Dictionary, Set, Mutable Object

22:33

Python Programming for Data Science | Basic Data Types - Numbers, String, Date, and Boolean

38:15

Retail Banking Analytics | Basics of Banking | Types of Banks - Retail, Commercial, Cooperative Bank

54:51

Retail Banking Analytics | Finance Concepts - Future Value, Net Present Value, IRR, Discount Rate

16:52

Airflow TriggerDagRunOperator | Configure DAG dependencies at ease | ETL Pipelines | Master DAG

34:06

Object Oriented Programming Concepts in Python - Class, Inheritance, Polymorphism, Encapsulation

11:31

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18:33

Getting Started with Pytest | Understanding the usage of Assert Keyword | Practical pytest example

08:46

Introduction to Automated Testing using Pytest in Python | Unit Testing | Applications of pytest

04:36

Test your Math Operators & Logic Development Skills using Python | Floor Division, Modulus

07:06

Learn Python Q&A Style | Test your Conditional Statement Knowledge | if-elif-else & common mistakes

03:37

Learn Python Q&A Style | For Loop | input, int, loops

08:32

Learn Python Q&A Style | FAQs List Manipulation | append, sort, index, reverse, insert, pop, len

11:46

Learn Python Q&A Style | FAQs on String Manipulation | find, partition, index, split, f string

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Missing Value Treatment in Python | K Nearest Neighbours - KNN Technique | k2analytics.co.in

15:24

Apache Airflow | Trigger DAG with Config Parameters | get_current_context() | **kwargs | k2analytics

15:43

Airflow Variables

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SQL Window (Analytical) Functions Part 2 | lag, lead, preceding, following | k2analytics.co.in

29:23

SQL Window Functions P1 | Analytical Func | Rank, Dense Rank, Row Number, Partition, Over, Order By

53:59

SQL Functions | String, Data, Numeric Functions | Coalesce, Convert_TZ, Soundex, Year, Month, Cast

35:58

SQL Joins - Inner, Left, Right, Full Outer, Semi, Anti, Cartesian | Cardinalities: One-to-One, etc

28:20

SQL Programming | Sub-Queries and Common Table Expressions (CTE) | k2analytics.co.in

01:32:27

Hierarchical Clustering in R | Overview | Distance | Linkage Algorithm | Dendrogram | Profiling

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K Means Clustering in Python | Why K Means is based on Variance and not Distance Measure | Profiling

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Hierarchical Clustering in Python Part 2 of 2 | Distance Measures | Linkage Algorithm | Profiling

39:28

Hierarchical Clustering in Python Part 1 of 2 | Distance Measures | Euclidean | Linkage Algorithms

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K Means Clustering in R | Finding Optimum Clusters | Scree Plot | NBClust | Convergence Criteria

50:52

SQL Programming | Select Query | From, Where, Group By, Having, Order By | Dimensions & Measures

40:21

SQL Programming | Insert, Update, Delete, Truncate | Case-When, Like Condition | Load Data Infile

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SQL Programming | B-Tree | Clustered & Non Clustered Indexes | Faster Execution of Select Queries

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SQL Programming | Generated & Virtual Columns in MySQL | Alter Table Add After | k2analytics.co.in

30:56

SQL Programming | DDL, DML, DCL Queries | Data Types - Numeric, Varchar, Date, etc | Create Table

28:44

SQL Programming | DDL | Create, Alter, Drop Table Syntax | Primary Key | Default & Check Constraints

41:44

SQL Programming | DDL | Foreign Key | Auto Increment | Unique Key | Many to Many Relationship

29:46

SQL Programming | Introduction to Database & SQL Programming | DDL, DML, DCL | OLTP & OLAP Concepts

08:40

SQL Programming Complete Course | Data Science | CRUD | MySQL Installation | k2analytics.co.in

02:18:57

Logistic Regression Using R (Part 2) | Training & Testing | Outlier Detection | Missing Value

02:21:05

Logistic Regression using R (Part 3) | Information Valuation | Pattern Detection & Visualization

03:25:59

Logistic Regression using R (Part 4) | Model Validation | Model Performance Measures | Rank Ordering

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Logistic Regression using R (Part 3A) | Weight of Evidence | Information Value | k2analytics.co.in

03:00:34

Logistic Regression using R Programming (Part 1) | Basic Analytics Concepts | Supervised Learning

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Airflow Connections and Hooks Concepts | Connecting to Postgres SQL Database | k2analytics.co.in

10:15

Airflow SubDAGs & TaskGroups Concept | Parallel Processing | Nested TaskGroups | k2analytics.co.in

12:28

Writing Modular ETL Code using Apache Airflow | XCOMs | Data Engineering | ETL | k2analytics.co.in

15:05

Making Airflow DAG Code Modular | XCOMs | Data Engineering | Data Pipeline | ETL | k2analytics.co.in

16:09

Airflow XComs Explained | Cross-Communication between Tasks using XCOMS | k2analytics.co.in

59:15

Credit Risk Scorecard | Step-by-step explanation of Probability Calculation in Logistic Regression

36:49

Credit Risk Scorecard | Converting Probability to Risk Score | Points to Double the Odds

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Credit Risk Scorecard Model Development using Logistic Regression Technique

58:52

Fundamentals of Credit Risk Scorecard Explained

13:54

Building Data Pipeline with Airflow PythonOperator | ELT | Data Engineering | k2analytics.co.in

26:42

Getting Started to Building Data Pipelines in Airflow | Data Engineering | ETL | k2analytics.co.in

30:38

Random Forest using Python (Part 3 of 3) | Bagging & Boosting | Ensemble Modeling |k2analytics.co.in

53:25

Random Forest using Python (Part 2 of 3) | Bagging & Boosting | Ensemble Modeling |k2analytics.co.in

28:57

Random Forest using Python (Part 1 of 3) | Bagging & Boosting | Ensemble Modeling |k2analytics.co.in