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Machine Learning Tutorial 9 Continuous and Categorical Features Cardinality

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Lessons List | 29 Lesson
Machine Learning Tutorial 1 Intro to Machine Learning and A I
00:05:05

Machine Learning Tutorial 1 Intro to Machine Learning and A I
Machine Learning Tutorial 2 Intro to Predictive Data Analytics
00:09:06

Machine Learning Tutorial 2 Intro to Predictive Data Analytics
Machine Learning Tutorial 3 Intro to Models
00:11:37

Machine Learning Tutorial 3 Intro to Models
Machine Learning Tutorial 4 Generalization Algorithms
00:09:15

Machine Learning Tutorial 4 Generalization Algorithms
Machine Learning Tutorial 5 Big Data Data Warehouse Hadoop Federation
00:05:53

Machine Learning Tutorial 5 Big Data Data Warehouse Hadoop Federation
Machine Learning Tutorial 6 Analytical Base Table ABT
00:04:13

Machine Learning Tutorial 6 Analytical Base Table ABT
Machine Learning Tutorial 7 Measures of Central Tendency
00:04:48

Machine Learning Tutorial 7 Measures of Central Tendency
Machine Learning Tutorial 8 Standard Deviation
00:05:44

Machine Learning Tutorial 8 Standard Deviation
Machine Learning Tutorial 9 Continuous and Categorical Features Cardinality
00:03:45

Machine Learning Tutorial 9 Continuous and Categorical Features Cardinality
Machine Learning Tutorial 10 Binning Data
00:04:43

Machine Learning Tutorial 10 Binning Data
Machine Learning Tutorial 11 Cleaning Bad Data
00:04:56

Machine Learning Tutorial 11 Cleaning Bad Data
Machine Learning Tutorial 12 Cleaning Missing Values NULL
00:05:02

Machine Learning Tutorial 12 Cleaning Missing Values NULL
Machine Learning Tutorial 13 Imputation
00:04:42

Machine Learning Tutorial 13 Imputation
Machine Learning Tutorial 14 Cleaning Irregular Cardinality
00:04:13

Machine Learning Tutorial 14 Cleaning Irregular Cardinality
Machine Learning Tutorial 15 Outliers
00:04:03

Machine Learning Tutorial 15 Outliers
Machine Learning Tutorial 16 Clamp Transformation
00:04:55

Machine Learning Tutorial 16 Clamp Transformation
Machine Learning Tutorial 17 Using Models for New Data
00:04:35

Machine Learning Tutorial 17 Using Models for New Data
Machine Learning Tutorial 18 Algorithms and Models
00:05:14

Machine Learning Tutorial 18 Algorithms and Models
Machine Learning Tutorial 19 Supervised Unsupervised Algorithms
00:05:16

Machine Learning Tutorial 19 Supervised Unsupervised Algorithms
Machine Learning Tutorial 20 Trees and Binary Trees
00:03:01

Machine Learning Tutorial 20 Trees and Binary Trees
Machine Learning Tutorial 21 Decision Trees
00:05:11

Machine Learning Tutorial 21 Decision Trees
Machine Learning Tutorial 22 Discriminatory Power
00:07:14

Machine Learning Tutorial 22 Discriminatory Power
Machine Learning Tutorial 23 Recursion
00:05:58

Machine Learning Tutorial 23 Recursion
Machine Learning Tutorial 24 Recursion Base Cases
00:04:04

Machine Learning Tutorial 24 Recursion Base Cases
Machine Learning Tutorial 25 Intro to the ID3 Algorithm
00:06:40

Machine Learning Tutorial 25 Intro to the ID3 Algorithm
Machine Learning Tutorial 26 ID3 Algorithm Part 2
00:04:44

Machine Learning Tutorial 26 ID3 Algorithm Part 2
Machine Learning Tutorial 27 ID3 Algorithm Part 3
00:05:04

Machine Learning Tutorial 27 ID3 Algorithm Part 3
Machine Learning Tutorial 28 Bar Plots Bar Graphs
00:02:03

Machine Learning Tutorial 28 Bar Plots Bar Graphs
Machine Learning Tutorial 29 Histograms
00:02:50

Machine Learning Tutorial 29 Histograms

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Course Description

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention .
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