Name: Intro to Machine Learning
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Introduction 02:39

Introduction Part II 01:09

Introduction Pt. III 00:46

Prerequisites 00:58

Machine Learning in the Google Self-Driving Car 02:13

Quiz - Intro to Machine Learning 01:40

Solution - Intro to Machine Learning 01:07

Supervised Classification Example Quiz - Intro to Machine Learning 00:45

Supervised Classification Example - Intro to Machine Learning 01:08

Features and Labels Musical Example 01:08

Features Visualization Quiz - Intro to Machine Learning 01:04

Features Visualization Solution - Intro to Machine Learning 00:11

Classification By Eye Quiz - Intro to Machine Learning 00:26

Classification By Eye Solution - Intro to Machine Learning 00:31

Intro To Stanley Terrain Classification 00:45

Speed Scatterplot: Grade and Bumpiness - Intro to Machine Learning 01:28

Speed Scatterplot: Grade and Bumpiness - Intro to Machine Learning 00:05

Speed Scatterplot 2 - Intro to Machine Learning 00:06

Speed Scatterplot 2 - Intro to Machine Learning 00:09

Speed Scatterplot 3 - Intro to Machine Learning 00:07

Speed Scatterplot 3 - Intro to Machine Learning 00:35

Scatterplots to Predictions - Intro to Machine Learning 00:34

Scatterplots to Predictions - Intro to Machine Learning 00:08

Scatterplots to Predictions 2 - Intro to Machine Learning 00:10

Scatterplots to Predictions 2 - Intro to Machine Learning 00:11

Scatterplots to Decision Surface - Intro to Machine Learning 00:33

Scatterplot to Decision Surface - Intro to Machine Learning 00:21

Good Linear Decision Surface - Intro to Machine Learning 00:17

Good Linear Decision Surface - Intro to Machine Learning 00:48

Transition to Using Naive Bayes 00:18

NB Decision Boundary in Python 00:38

Getting Started With sklearn 01:26

Gaussian NB Example 03:03

GaussianNB Deployment on Terrain Data - Intro to Machine Learning 00:57

Gaussian Deployment Solution - Intro to Machine Learning 00:13

Accuracy of Naive Bayes - Intro to Machine Learning 01:24

Accuracy of Naive Bayes - Intro to Machine Learning 00:45

Training and Testing Data 01:13

Unpacking NB Using Bayes Rule 00:21

Bayes Rule 00:27

Cancer Test - Intro to Machine Learning 02:38

Cancer Test Solution - Intro to Machine Learning 00:42

Prior and Posterior - Intro to Machine Learning 02:20

Prior and Posterior Solution - Intro to Machine Learning 00:27

Normalizing 1 - Intro to Machine Learning 00:16

Normalizing 1 Solution - Intro to Machine Learning 00:20

Normalizing 2 - Intro to Machine Learning 00:30

Normalizing 2 Solution - Intro to Machine Learning 00:05

Normalizing 3 - Intro to Machine Learning 00:09

Normalizing 3 Solution - Intro to Machine Learning 00:05

Total Probability - Intro to Machine Learning 00:05

Total Probability Solution - Intro to Machine Learning 00:15

Bayes Rule Diagram 01:27

Bayes Rule for Classification - Intro to Machine Learning 02:10

Bayes Rule for Classification - Intro to Machine Learning 00:08

Chris or Sara - Intro to Machine Learning 00:08

[sol: Chris or Sara] - Intro to Machine Learning 00:39

Posterior Probabilities - Intro to Machine Learning 00:21

Posterior Probabilities - Intro to Machine Learning 00:34

Bayesian Probabilities On Your Own - Intro to Machine Learning 00:13

Bayesian Probabilities On Your Own - Intro to Machine Learning 00:57

Why Is Naive Bayes Naive - Intro to Machine Learning 01:46

Why Is Naive Bayes Naive - Intro to Machine Learning 00:26

Naive Bayes Strengths and Weaknesses 01:30

Congrats on Learning Naive Bayes 00:21

Naive Bayes Mini-Project Video 00:55

Welcome to SVM 00:24

Separating Line - Intro to Machine Learning 00:51

Separating Line - Intro to Machine Learning 00:07

Choosing Between Separating Lines - Intro to Machine Learning 00:20

Choosing Between Separating Lines - Intro to Machine Learning 00:05

What Makes A Good Separating Line - Intro to Machine Learning 00:49

What Makes a Good Separating Line - Intro to Machine Learning 00:36

Practice With Margins - Intro to Machine Learning 00:10

Practice With Margins - Intro to Machine Learning 00:42

SVMs and Tricky Data Distributions - Intro to Machine Learning 00:18

SVMs and Tricky Data Distributions - Intro to Machine Learning 00:44

SVM Response to Outliers - Intro to Machine Learning 00:42

SVM Response to Outliers - Intro to Machine Learning 00:29

SVM Outlier Practice - Intro to Machine Learning 00:21

SVM Outlier Practice - Intro to Machine Learning 00:38

Handoff to Katie 00:12

SVM in SKlearn 01:45

SVM Decision Boundary 00:47

sklearn SVM Documentation - Intro to Machine Learning 01:23

Coding Up the SVM - Intro to Machine Learning 00:52

Nonlinear SVMs 00:57

Nonlinear Data - Intro to Machine Learning 00:32

Nonlinear Data - Intro to Machine Learning 00:19

A New Feature - Intro to Machine Learning 01:20

A New Feature - Intro to Machine Learning 00:06

Visualizing the New Feature 01:10

Separating with the New Feature - Intro to Machine Learning 00:10

Separating with the New Feature - Intro to Machine Learning 00:36

Practice Making a New Feature - Intro to Machine Learning 00:40

Practice Making a New Feature - Intro to Machine Learning 01:10

Kernel Trick 01:40

Playing Around with Kernel Choices - Intro to Machine Learning 02:18

Playing Around with Kernel Choices - Intro to Machine Learning 00:37

Kernel and Gamma - Intro to Machine Learning 01:21

Kernel and Gamma - Intro to Machine Learning 00:25

SVM C Parameter - Intro to Machine Learning 01:50

SVM C Parameter - Intro to Machine Learning 00:36

Overfitting - Intro to Machine Learning 01:07

Overfitting - Intro to Machine Learning 00:29

SVM Strengths and Weaknesses 00:57

SVM Mini-Project Video 00:31

Welcome To Decision Trees 00:25

Linearly Separable Data - Intro to Machine Learning 01:17

Linearly Separable Data - Intro to Machine Learning 00:07

Multiple Linear Questions - Intro to Machine Learning 00:48

Multiple Linear Questions - Intro to Machine Learning 01:00

Constructing a Decision Tree First Split - Intro to Machine Learning 00:39

Constructing a Decision Tree First Split - Intro to Machine Learning 00:28

Constructing a Decision Tree 2nd Split - Intro to Machine Learning 00:17

Class Labels After Second Split - Intro to Machine Learning 00:13

Labels After Second Split - Intro to Machine Learning 00:11

Constructing A Decision Tree/Third Split - Intro to Machine Learning 00:09

Constructing A Decision Tree/Third Split - Intro to Machine Learning 00:51

Coding A Decision Tree - Intro to Machine Learning 01:53

Coding A Decision Tree - Intro to Machine Learning 01:28

Decision Tree Accuracy - Intro to Machine Learning 00:14

Decision Tree Accuracy - Intro to Machine Learning 00:29

Decision Tree Parameters - Intro to Machine Learning 02:19

Decision Tree Parameters - Intro to Machine Learning 00:35

Min Samples Split - Intro to Machine Learning 00:30

Min Samples Split - Intro to Machine Learning 00:35

Decision Tree Accuracy - Intro to Machine Learning 00:10

Decision Tree Accuracy - Intro to Machine Learning 00:59

Data Impurity and Entropy 01:23

Minimizing Impurity in Splitting - Intro to Machine Learning 00:36

Minimizing Impurity in Splitting - Intro to Machine Learning 00:37

Formula of Entropy 00:53

Entropy Calculation Part 1 - Intro to Machine Learning 00:49

Entropy Calculation Part 1 - Intro to Machine Learning 00:03

Entropy Calculation Part 2 - Intro to Machine Learning 00:06

Entropy Calculation Part 2 - Intro to Machine Learning 00:04

Entropy Calculation Part 3 - Intro to Machine Learning 00:14

Entropy Calculation Part 3 - Intro to Machine Learning 00:08

Entropy Calculation Part 4 - Intro to Machine Learning 00:12

Entropy Calculation Part 4 - Intro to Machine Learning 00:09

Entropy Calculation Part 5 - Intro to Machine Learning 00:07

Entropy Calculation Part 5 - Intro to Machine Learning 01:34

Information Gain 00:45

Information Gain Calculation Part 1 - Intro to Machine Learning 00:30

Information Gain Calculation Part 1 - Intro to Machine Learning 00:24

Information Gain Calculation Part 2 - Intro to Machine Learning 00:08

Information Gain Calculation Part 2 - Intro to Machine Learning 00:09

Information Gain Calculation Part 3 - Intro to Machine Learning 00:07

Information Gain Calculation Part 3 - Intro to Machine Learning 00:08

Information Gain Calculation Part 4 - Intro to Machine Learning 00:08

Information Gain Calculation Part 4 - Intro to Machine Learning 00:06

Information Gain Calculation Part 5 - Intro to Machine Learning 01:12

Information Gain Calculation Part 5 - Intro to Machine Learning 00:08

Information Gain Calculation Part 6 - Intro to Machine Learning 00:47

Information Gain Calculation Part 6 - Intro to Machine Learning 00:24

Information Gain Calculation Part 7 - Intro to Machine Learning 00:15

Information Gain Part 7 Solution - Intro to Machine Learning 00:04

Information Gain Calculation Part 8 - Intro to Machine Learning 00:05

Information Gain Part 8 Solution - Intro to Machine Learning 00:09

Information Gain Calculation Part 9 - Intro to Machine Learning 00:06

Information Gain Calculation Part 9 - Intro to Machine Learning 00:16

Information Gain Calculation Part 10 - Intro to Machine Learning 00:17

Information Gain Calculation Part 10 - Intro to Machine Learning 01:09

Tuning Criterion Parameter 00:57

Bias-Variance Dilemma 01:10

DT Strengths and Weaknesses 01:18

Decision Tree Mini-Project Video 00:33

Choose Your own Algorithm 00:40

Choose Your Own Adventure 00:46

Algorithm Options 01:39

Investigation Process 01:25

How Does Your Algorithm Compare 00:19

L4_Mini Project 00:17

Welcome to the end of the lesson 02:00

Introduction 08:26

What Is A POI 02:20

Accuracy vs. Training Set Size 04:31

Downloading Enron Data 03:42

Types of Data Quiz 1 - Intro to Machine Learning 01:43

Types of Data Quiz 1 - Intro to Machine Learning 00:09

Types of Data Quiz 2 - Intro to Machine Learning 00:08

Types of Data Quiz 2 - Intro to Machine Learning 00:14

Types of Data Quiz 3 - Intro to Machine Learning 00:06

Types of Data Quiz 4 - Intro to Machine Learning 00:10

Types of Data Quiz 4 - Intro to Machine Learning 00:05

Video Title 00:20

Types of Data Quiz 5 - Intro to Machine Learning 00:04

Types of Data Quiz 6 - Intro to Machine Learning 00:19

Types of Data Quiz 6 - Intro to Machine Learning 00:55

Enron Dataset Mini-Project Video 00:30

Continuous Output Quiz - Intro to Machine Learning 00:28

Continuous Output Quiz - Intro to Machine Learning 00:42

Continuous Quiz - Intro to Machine Learning 00:11

Continuous Quiz Solution - Intro to Machine Learning 00:07

Age: Continuous or Discrete? - Intro to Machine Learning 00:21

[sol: age is continuous] - Intro to Machine Learning 00:03

Weather: Continuous or Discrete? - Intro to Machine Learning 00:08

[sol: weather is discrete] - Intro to Machine Learning 00:26

Email Author: Continuous Or Discrete? - Intro to Machine Learning 00:19

Email Author: Cont. or Discrete Solution - Intro to Machine Learning 00:24

Phone Number: Continuous or Discrete? - Intro to Machine Learning 00:23

Phone Number Solution - Intro to Machine Learning 00:33

Income: Continuous or Discrete? - Intro to Machine Learning 00:06

[sol: income is continuous] - Intro to Machine Learning 00:35

Continuous Feature Quiz - Intro to Machine Learning 00:30

Continuous Feature Quiz - Intro to Machine Learning 00:32

Supervised Learning w/ Continuous Output - Intro to Machine Learning 00:56

Supervised Learning w/ Continuous Output - Intro to Machine Learning 00:21

Equation of the Regression Line - Intro to Machine Learning 00:42

Equation of the Regression Line - Intro to Machine Learning 00:17

Slope and Intercept 00:40

Slope Quiz - Intro to Machine Learning 00:30

Slope Quiz - Intro to Machine Learning 00:09

Intercept Quiz - Intro to Machine Learning 00:16

Intercept Quiz - Intro to Machine Learning 00:25

Predictions Using Regression - Intro to Machine Learning 00:30

Predictions Using Regression - Intro to Machine Learning 00:11

Adding An Intercept - Intro to Machine Learning 00:15

Adding An Intercept - Intro to Machine Learning 00:42

Handoff to Katie 00:13

Coding It Up 01:44

Age/Net Worth Quiz - Intro to Machine Learning 02:33

Age/Net Worth Solution - Intro to Machine Learning 00:39

Extracting Information from sklearn 02:10

Extracting Score Data from sklearn 01:28

Linear Regression Errors 00:54

Error Quiz - Intro to Machine Learning 00:27

Error Quiz - Intro to Machine Learning 00:22

Errors and Fit Quality - Intro to Machine Learning 00:51

Errors and Fit Quality - Intro to Machine Learning 02:07

Minimizing Sum of Squared Errors 00:39

Algorithms for Minimizing Squared Errors 00:39

Why Minimize SSE - Intro to Machine Learning 00:26

Why Minimize SSE - Intro to Machine Learning 00:22

Problem with Minimizing Absolute Errors 02:17

Evaluating Regression by Eye - Intro to Machine Learning 00:47

Evaluating Regression by Eye - Intro to Machine Learning 00:56

Problem with SSE - Intro to Machine Learning 00:13

Problem with SSE - Intro to Machine Learning 01:13

R Squared Metric for Regression 01:17

R Squared in SKlearn 02:47

Visualizing Regression 01:03

What Data Is Good For Linear Regression - Intro to Machine Learning 00:45

What Data Is Good For Linear Regression - Intro to Machine Learning 03:16

Comparing Classification and Regression 01:37

Multi-variate Regression Quiz - Intro to Machine Learning 01:39

Multi-variate Regression Quiz - Intro to Machine Learning 01:46

Outliers in Regression Quiz - Intro to Machine Learning 00:58

03_s - Intro to Machine Learning 01:33

Regression Mini-Project Video 00:46

Outliers in Regression Quiz - Intro to Machine Learning 01:05

Outliers in Regression Solution - Intro to Machine Learning 00:30

What Causes Outliers Quiz - Intro to Machine Learning 00:24

What Causes Outliers Solution - Intro to Machine Learning 01:07

Outlier Selection Quiz - Intro to Machine Learning 00:30

Outlier Selection Solution - Intro to Machine Learning 00:44

Outlier Detection/Removal Algorithm 01:11

Outlier Detection Using Residuals Quiz - Intro to Machine Learning 00:37

Outlier Detection Solution - Intro to Machine Learning 00:15

Effect of Outlier Removal on Regression - Intro to Machine Learning 00:16

Effect of Outlier Removal Solution - Intro to Machine Learning 00:12

Summary of Outlier Removal Strategy 00:55

Outliers Mini-Project Video 00:48

Unsupervised Learning 01:47

Clustering Movies 01:50

How Many Clusters - Intro to Machine Learning 00:30

How Many Clusters - Intro to Machine Learning 00:16

Match Points with Clusters - Intro to Machine Learning 00:31

Match Points with Clusters - Intro to Machine Learning 00:24

Optimizing Centers (Rubber Bands) - Intro to Machine Learning 01:01

Optimizing Centers Quiz - Intro to Machine Learning 00:23

Moving Centers 2 - Intro to Machine Learning 00:15

Moving Centers 2 - Intro to Machine Learning 00:13

Match Points (again) - Intro to Machine Learning 00:14

Match Points (again) - Intro to Machine Learning 00:45

Handoff to Katie 00:08

K-Means Clustering Visualization - Intro to Machine Learning 00:50

K-Means Clustering Visualization - Intro to Machine Learning 00:14

K-Means Clustering Visualization 2 01:58

K-Means Clustering Visualization 3 01:29

Sklearn 03:45

Some challenges of k-means 00:18

Limitations of K-Means Quiz - Intro to Machine Learning 00:33

Limitations of K-Means Solution - Intro to Machine Learning 00:11

Counterintuitive Clusters - Intro to Machine Learning 00:38

Counterintuitive Clusters Solution - Intro to Machine Learning 01:19

Counterintuitive Clusters - Intro to Machine Learning 00:27

Counterintuitive Clusters - Intro to Machine Learning 00:57

Clustering Mini-Project Video 00:35

Chris Shirt Size Intuition - Intro to Machine Learning 01:22

Chris Shirt Size Solution - Intro to Machine Learning 00:13

Quiz - Intro to Machine Learning 00:28

Solution - Intro to Machine Learning 00:07

Quiz - Intro to Machine Learning 00:05

Solution - Intro to Machine Learning 00:07

Quiz - Intro to Machine Learning 00:04

Solution - Intro to Machine Learning 00:06

Quiz - Intro to Machine Learning 00:17

Solution - Intro to Machine Learning 00:15

Comparing Features with Different Scales 01:49

Feature Scaling Formula Quiz 1 - Intro to Machine Learning 00:41

Feature Scaling Formula Solution - Intro to Machine Learning 00:07

Feature Scaling Formula Quiz 2 - Intro to Machine Learning 00:04

Feature Scale Formula Solution 2 - Intro to Machine Learning 00:07

Feature Scaling Formula Quiz 3 - Intro to Machine Learning 00:26

Feature Scaling Formula Quiz 3 Solution - Intro to Machine Learning 00:51

Min/Max Rescaler Coding Quiz - Intro to Machine Learning 00:29

Min/Max Rescaler Solution - Intro to Machine Learning 00:15

Min/Max Scaler in sklearn 03:19

Quiz on Algorithms Requiring Rescaling - Intro to Machine Learning 00:53

Algorithms Requiring Rescaling Solution - Intro to Machine Learning 02:07

Feature Scaling Mini-Project Video 00:27

Dimensions when Learning From Text - Intro to Machine Learning 01:12

Text Dimensions Solution - Intro to Machine Learning 00:20

Bag of Words - Intro to Machine Learning 01:35

Solution to Bag of Words Quiz - Intro to Machine Learning 00:09

A Very Nice Day - Intro to Machine Learning 00:08

A Very Nice Solution - Intro to Machine Learning 00:29

Mr. Day Loves a Nice Day - Intro to Machine Learning 00:10

Mr. Day Loves a Nice Day Solution - Intro to Machine Learning 00:43

Properties of a Bag of Words - Intro to Machine Learning 00:50

Properties of a Bag of Words Solution - Intro to Machine Learning 01:18

Bag of Words in Sklearn 03:32

Not All Words Are Equal - Intro to Machine Learning 01:02

Low Info Words Solution - Intro to Machine Learning 00:55

Stopwords - Intro to Machine Learning 01:00

Stopwords Quiz Solution - Intro to Machine Learning 00:14

Stopwords in NLTK - Intro to Machine Learning 01:55

NLTK Stopwords Solution - Intro to Machine Learning 00:18

Stemming to Consolidate Vocabulary 02:03

Stemming with NLTK 02:12

Order of Operations in Text Processing - Intro to Machine Learning 00:26

Order of Operations in Text Processing - Intro to Machine Learning 01:00

Weighting by Term Frequency - Intro to Machine Learning 01:22

Term Frequency Quiz Solution - Intro to Machine Learning 00:12

Why Upweight Rare Words 01:16

Text Learning Mini-Project Video 00:40

Why Feature Selection? 00:53

A New Enron Feature 01:07

New Enron Feature Quiz - Intro to Machine Learning 00:48

New Enron Feature Solution - Intro to Machine Learning 01:31

Visualizing Your New Feature - Intro to Machine Learning 00:58

Visualizing New Feature Solution - Intro to Machine Learning 00:43

Beware of Feature Bugs! 00:29

Getting Rid of Features - Intro to Machine Learning 01:33

Getting Rid of Features Solution - Intro to Machine Learning 00:36

Features != Information 01:01

Feature Selection in TfIdf Vectorizer - Intro to Machine Learning 03:22

TfIdf Feature Selection Solution - Intro to Machine Learning 01:12

Bias Variance Dilemma Quiz - Intro to Machine Learning 01:49

Bias Variance Dilemma Solution - Intro to Machine Learning 00:25

"Bias 00:31

Bias/Variance and Features Quiz Solution - Intro to Machine Learning 01:05

Overfitting by Eye 01:27

Balancing Error with Number of Features 02:26

Regularization 02:21

Lasso Regression 01:46

Lasso Code Quiz - Intro to Machine Learning 01:16

Lasso Code Solution - Intro to Machine Learning 00:23

Lasso Prediction with sklearn Quiz - Intro to Machine Learning 00:21

Lasso Prediction with sklearn Solution - Intro to Machine Learning 00:19

Lasso Coefficients Quiz - Intro to Machine Learning 00:51

Lasso Coefficients Solution - Intro to Machine Learning 00:40

Using Lasso in sklearn Quiz - Intro to Machine Learning 00:30

Using Lasso in sklearn Solution - Intro to Machine Learning 00:30

Feature Selection Mini-Project Video 00:58

Data Dimensionality - Intro to Machine Learning 00:43

Data Dimensionality - Intro to Machine Learning 00:08

Trickier Data Dimensionality - Intro to Machine Learning 00:05

Trickier Dimensionality - Intro to Machine Learning 00:16

"One-Dimensional 00:10

"One-Dimensional 00:35

Slightly Less Perfect Data - Intro to Machine Learning 00:11

Slightly Less Perfect Data - Intro to Machine Learning 00:29

Trickiest Data Dimensionality - Intro to Machine Learning 00:10

Trickiest Data Dimensionality - Intro to Machine Learning 00:56

PCA for Data Transformation 01:04

Center of a New Coordinate System - Intro to Machine Learning 00:43

Center of a New Coordinate System - Intro to Machine Learning 00:12

Principal Axis of New Coordinate System - Intro to Machine Learning 00:30

Principal Axis of New Coordinate System - Intro to Machine Learning 00:06

Second Principal Component of New System - Intro to Machine Learning 00:21

Second Principal Component of New System - Intro to Machine Learning 00:51

Practice Finding Centers - Intro to Machine Learning 00:30

Practice Finding Centers - Intro to Machine Learning 00:04

Practice Finding New Axes - Intro to Machine Learning 00:05

Practice Finding New Axes - Intro to Machine Learning 01:25

Which Data is Ready for PCA - Intro to Machine Learning 00:26

Which Data is Good for PCA - Intro to Machine Learning 00:52

When Does an Axis Dominate - Intro to Machine Learning 00:20

When Does an Axis Dominate - Intro to Machine Learning 00:32

Latent Features - Intro to Machine Learning 00:25

Latent Features - Intro to Machine Learning 00:17

From Four Features to Two - Intro to Machine Learning 00:57

From Four Features to Two - Intro to Machine Learning 00:33

Compression While Preserving Information - Intro to Machine Learning 01:38

Compression While Preserving Information - Intro to Machine Learning 00:28

Composite Features - Intro to Machine Learning 02:24

Composite Features - Intro to Machine Learning 00:17

Maximal Variance - Intro to Machine Learning 01:27

Maximal Variance - Intro to Machine Learning 00:12

Advantages of Maximal Variance - Intro to Machine Learning 01:07

Advantages of Maximal Variance - Intro to Machine Learning 00:24

Maximal Variance and Information Loss - Intro to Machine Learning 01:33

Maximal Variance and Information Loss - Intro to Machine Learning 00:14

Info Loss and Principal Components 01:15

Neighborhood Composite Feature - Intro to Machine Learning 00:24

PCA for Feature Transformation 02:21

Maximum Number of PCs Quiz - Intro to Machine Learning 00:17

Maximum Number of PCs Quiz - Intro to Machine Learning 00:12

Review/Definition of PCA 01:47

PCA on the Enron Finance Data - Intro to Machine Learning 00:59

PCA on Enron finance data - Intro to Machine Learning 00:18

PCA in sklearn 03:01

When to Use PCA 03:05

PCA for Facial Recognition - Intro to Machine Learning 00:56

PCA for Facial Recognition - Intro to Machine Learning 01:23

Eigenfaces Code 03:34

PCA Mini-Project Intro 00:34

Selecting Principal Components Quiz - Intro to Machine Learning 01:14

Selecting Principal Components Solution - Intro to Machine Learning 01:21

Cross Validation for Fun and Profit 00:45

Benefits of Testing - Intro to Machine Learning 00:44

Benefits of Testing - Intro to Machine Learning 00:36

Train/Test Split in sklearn - Intro to Machine Learning 02:20

Where to use training vs. testing data - Intro to Machine Learning 01:37

PCA Training vs Testing Solution - Intro to Machine Learning 00:27

Where to use training vs. testing data 2 - Intro to Machine Learning 00:34

Where to use training vs. testing data 3 - Intro to Machine Learning 00:17

Where to use training vs testing data 3 - Intro to Machine Learning 00:49

Where to use training vs. testing data 3 - Intro to Machine Learning 00:22

Where to use training vs. testing data 4 - Intro to Machine Learning 00:12

Where to use training vs. testing data 4 - Intro to Machine Learning 00:19

K-Fold Cross Validation - Intro to Machine Learning 02:42

K-Fold Cross Validation - Intro to Machine Learning 00:39

Cross Validation for Parameter Tuning 00:41

On to the Validation Mini-Project 00:19

Validation Mini-Project Video 01:00

Welcome to Evaluation Metrics Lesson 00:40

Accuracy Review 00:23

Shortcomings of Accuracy - Intro to Machine Learning 02:24

Shortcomings of Accuracy Solution - Intro to Machine Learning 01:06

Picking the Most Suitable Metric 00:50

Confusion Matrices - Intro to Machine Learning 00:55

Confusion Matrices - Intro to Machine Learning 00:09

Confusion Matrix Practice - Intro to Machine Learning 00:05

Confusion Matrix Practice 1 - Intro to Machine Learning 00:07

Confusion Matrix Practice 2 - Intro to Machine Learning 00:08

Confusion Matrix Practice 2 - Intro to Machine Learning 00:12

Filling in a Confusion Matrix - Intro to Machine Learning 00:13

Filling in a Confusion Matrix - Intro to Machine Learning 00:18

Confusion Matrix: False Alarms - Intro to Machine Learning 00:21

Confusion Matrix: False Alarms - Intro to Machine Learning 00:45

Decision Tree Confusion Matrix - Intro to Machine Learning 00:31

Decision Tree Confusion Matrix - Intro to Machine Learning 00:39

Confusion Matrix for Eigenfaces - Intro to Machine Learning 01:34

Confusion Matrix for Eigenfaces - Intro to Machine Learning 00:05

How Many Schroeders - Intro to Machine Learning 00:05

How Many Schroeders - Intro to Machine Learning 00:07

How Many Schroeder Predictions - Intro to Machine Learning 00:07

How Many Schroeder Predictions - Intro to Machine Learning 00:20

Classifying Chavez Correctly 1 - Intro to Machine Learning 00:18

Classifying Chavez Correctly 2 - Intro to Machine Learning 00:14

Classifying Chavez Correctly 2 - Intro to Machine Learning 00:18

Precision and Recall 00:41

Powell Precision and Recall - Intro to Machine Learning 00:12

Powell Precision and Recall - Intro to Machine Learning 00:27

Bush Precision and Recall - Intro to Machine Learning 00:06

Bush Precision and Recall - Intro to Machine Learning 00:45

True Positives in Eigenfaces - Intro to Machine Learning 00:34

True Positives in EigenFaces - Intro to Machine Learning 00:09

False Positives in Eigenfaces - Intro to Machine Learning 00:04

False Positives in Eigenfaces - Intro to Machine Learning 00:11

False Negatives in Eigenfaces - Intro to Machine Learning 00:04

False Negatives in Eigenfaces - Intro to Machine Learning 00:16

"Practicing TP 00:05

"Practicing TP 00:12

Equation for Precision - Intro to Machine Learning 00:20

Equation for Precision - Intro to Machine Learning 00:39

Equation for Recall - Intro to Machine Learning 00:10

Equation for Recall - Intro to Machine Learning 00:23

Welcome to the End of Evaluation Lesson - Intro to Machine Learning 00:34

Evaluation Mini-Project Video - Intro to Machine Learning 00:32

Introduction 00:59

Summary 01:26

End of Content 00:29

Outro 01:21

Welcome

Intro to Machine Learning

What you'll learn

This course includes

Course content

Intro to Machine Learning

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