5:05
Machine Learning Tutorial 1 - Intro to Machine Learning and A.I.
Caleb Curry
9:06
Machine Learning Tutorial 2 - Intro to Predictive Data Analytics
11:37
Machine Learning Tutorial 3 - Intro to Models
9:15
Machine Learning Tutorial 4 - Generalization (Algorithms)
5:53
Machine Learning Tutorial 5 - Big Data, Data Warehouse, Hadoop, Federation
4:13
Machine Learning Tutorial 6 - Analytical Base Table (ABT)
4:48
Machine Learning Tutorial 7 - Measures of Central Tendency
5:44
Machine Learning Tutorial 8 - Standard Deviation
3:45
Machine Learning Tutorial 9 - Continuous and Categorical Features (Cardinality)
4:43
Machine Learning Tutorial 10 - Binning Data
4:56
Machine Learning Tutorial 11 - Cleaning Bad Data
5:02
Machine Learning Tutorial 12 - Cleaning Missing Values (NULL)
4:42
Machine Learning Tutorial 13 - Imputation
Machine Learning Tutorial 14 - Cleaning Irregular Cardinality
4:03
Machine Learning Tutorial 15 - Outliers
4:55
Machine Learning Tutorial 16 - Clamp Transformation
4:35
Machine Learning Tutorial 17 - Using Models for New Data
5:14
Machine Learning Tutorial 18 - Algorithms and Models
5:16
Machine Learning Tutorial 19 - Supervised & Unsupervised Algorithms
3:01
Machine Learning Tutorial 20 - Trees and Binary Trees
5:11
Machine Learning Tutorial 21 - Decision Trees
7:14
Machine Learning Tutorial 22 - Discriminatory Power
5:58
Machine Learning Tutorial 23 - Recursion
4:04
Machine Learning Tutorial 24 - Recursion Base Cases
6:40
Machine Learning Tutorial 25 - Intro to the ID3 Algorithm
4:44
Machine Learning Tutorial 26 - ID3 Algorithm Part 2
5:04
Machine Learning Tutorial 27 - ID3 Algorithm Part 3
2:03
Machine Learning Tutorial 28 - Bar Plots (Bar Graphs)
2:50
Machine Learning Tutorial 29 - Histograms