syllabus. we covered regression in applied stats. we will review regression and cover time series...

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Syllabus

We covered Regression in Applied Stats.

We will review Regression and cover Time Series and Principle Components Analysis.

Reference Book

Page 4: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Page 5: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Probabilities

1 2 3 4 5 6

1 2 3 4 5 6 7

2 3 4 5 6 7 8

3 4 5 6 7 8 9

4 5 6 7 8 9 10

5 6 7 8 9 10 11

6 7 8 9 10 11 12

Probability Distribution

Page 6: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Conditional Probability & Bayesian Networks

Page 7: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Linear Regression

Page 8: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

More Regression

• Interaction (Non-Linear)

• Structural Equation Modeling• Moderation• Mediation

• Advanced• Lasso• Ridge• Regularized

Page 9: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

YesNo

Yes

Longitudinal & Time Series

Cro

ss-S

ecti

onal

Pan

el D

ata

PEW Mobile Phone

Galton Children Height

Census

Stock Market

Historical River Levels

Old Faithful

Web Analytics

Titanic Survivors

Bank Loans

plot(stl(beer,s.window="periodic"))

Time Series

Datasets: Training and Test

Develop Model Using Training Dataset and Apply to Test Data

Page 12: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Bank Loan

Page 13: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Page 14: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Decision Trees

Page 15: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Page 16: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Principle Components Analysis & Factor Analysis

Here 13 variables are reduced to 4.

Page 17: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Peop

Variables

Cluster Analysis

Customers are grouped by common characteristics

Page 18: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Peop

Variables Variable/Dimension Reduction

Principle Components Analysis & Factor Analysis

Page 19: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Tom BradyNot Tom Brady

Machine Learning

Page 20: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Same Data, Different Algorithms

Page 21: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Page 22: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

• One aspect of Predictive Modeling is comparing the performance of various models towards then choosing the one which performs best

Page 23: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

“Combine predictions from multiple, complementary models… one model’s strengths compensating for the weaknesses of others.”

Ensembles of People and Approaches

Page 24: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Text Mining / Sentiment Analysis

Page 25: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Social Network Analysis

Page 26: Syllabus. We covered Regression in Applied Stats. We will review Regression and cover Time Series and Principle Components Analysis. Reference Book

Conditional Probability & Bayesian Networks

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syllabus. we covered regression in applied stats. we will review regression and cover time series...

Documents

aspx14 http

complementary models

models strengths

cover time series

predictive modeling

performance of various

aspect of predictive

training dataset