Course Modules

Getting Started

Getting Started Getting Started

Page

Meet Your Instructors Meet Your Instructors 2

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Page

Campus resources + Support Campus resources + Support 7

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Discussion Topic

Discussion: Introduce Yourself Discussion: Introduce Yourself 8

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Week One : Statistical Learning & linear regression

Week One : Statistical Learning & linear regression Week One : Statistical Learning & linear regression

Page

Week 1: Overview Week 1: Overview 1

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Attachment

Lecture1_06-29_Ch1&2.pdf Lecture1_06-29_Ch1&2.pdf 2

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Attachment

Lecture1_06-29_statisticalModelingBasics.mp4 Lecture1_06-29_statisticalModelingBasics.mp4 3

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Attachment

Lecture2_Ch3_linearRegression.pdf Lecture2_Ch3_linearRegression.pdf 4

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Page

Lecture2_06-30_Ch3_video_linearRegression Lecture2_06-30_Ch3_video_linearRegression 5

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Attachment

Lecture3_07-01_Ch3.2_multipleRegression.pdf Lecture3_07-01_Ch3.2_multipleRegression.pdf 6

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Quiz

Quiz 1: statistical modeling basics Quiz 1: statistical modeling basics 6 7

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Page

Lecture3_07-01_Ch3_video_multipleRegression Lecture3_07-01_Ch3_video_multipleRegression 8

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Quiz

Quiz 2: linear regression Quiz 2: linear regression 7 9

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Assignment

Homework1 Homework1 38 10

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Week Two : Multiple Regression & Classification

Week Two : Multiple Regression & Classification Week Two : Multiple Regression & Classification

Attachment

COGS109_SU_07-06_Ch3.3_multipleRegression.pdf COGS109_SU_07-06_Ch3.3_multipleRegression.pdf 1

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Page

LectureVideo_07-06_Ch3_multipleRegression LectureVideo_07-06_Ch3_multipleRegression 2

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Attachment

COGS109_SU_07-07_Ch4_Classification_UPDATED.pdf COGS109_SU_07-07_Ch4_Classification_UPDATED.pdf 3

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Page

LectureVideo_07-07_Ch4_LogisticRegression LectureVideo_07-07_Ch4_LogisticRegression 4

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Attachment

COGS109_SU_07-08_Ch4_Classification_LDA_KNN_UPDATED.pdf COGS109_SU_07-08_Ch4_Classification_LDA_KNN_UPDATED.pdf 5

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Page

LectureVideo_07-08_Ch4_LDA_KNN LectureVideo_07-08_Ch4_LDA_KNN 6

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Quiz

Quiz 3: Classification - DUE 07-09 Quiz 3: Classification - DUE 07-09 9 7

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Attachment

COGS109_SS1_HW2.pdf - DUE 07-11 COGS109_SS1_HW2.pdf - DUE 07-11 8

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Attachment

hw2_divseq_data.csv hw2_divseq_data.csv 9

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Attachment

basic_text_classification.ipynb basic_text_classification.ipynb 11

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Attachment

logistic_regression.ipynb logistic_regression.ipynb 12

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Page

Discussion Tuesday Materials Discussion Tuesday Materials 13

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Week Three : Resampling Methods & Regularization

Week Three : Resampling Methods & Regularization Week Three : Resampling Methods & Regularization

Attachment

COGS109_SU_07-12_Ch5_CV.pdf COGS109_SU_07-12_Ch5_CV.pdf 1

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Page

LectureVideo_07-12_Ch5_CV LectureVideo_07-12_Ch5_CV 2

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Attachment

COGS109_SU_07-13_Ch5_BT_Ch6_subset.pdf COGS109_SU_07-13_Ch5_BT_Ch6_subset.pdf 3

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Page

LectureVideo_07-13_Ch5_BT_Ch6_subsetselection LectureVideo_07-13_Ch5_BT_Ch6_subsetselection 4

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Attachment

Bootstrapping_demo.ipynb Bootstrapping_demo.ipynb 5

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Attachment

ProjectGuidelines.docx ProjectGuidelines.docx 6

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Attachment

COGS109_SU_07-14_Ch6-ridge.pdf COGS109_SU_07-14_Ch6-ridge.pdf 7

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Page

LectureVideo_07-14_Ch6_Ridge LectureVideo_07-14_Ch6_Ridge 8

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Attachment

COGS109_SU_07-15_Ch6-ridge_LASSO.pdf COGS109_SU_07-15_Ch6-ridge_LASSO.pdf 9

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Page

LectureVideo_07-15_Ch6_ridge_LASSO LectureVideo_07-15_Ch6_ridge_LASSO 10

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Attachment

COGS109_SS1_HW1_solution.pdf COGS109_SS1_HW1_solution.pdf 13

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Quiz

Quiz 4: Resampling methods Quiz 4: Resampling methods 4 14

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External Url

Mid-term anonymous student feedback form Mid-term anonymous student feedback form 15

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Page

Discussion Week 3 Tuesday Discussion Week 3 Tuesday 16

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Attachment

COGS109_SS1_HW2_Solutions.ipynb COGS109_SS1_HW2_Solutions.ipynb 17

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External Url

Group project consultation - sign-up sheet Group project consultation - sign-up sheet 18

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Week Four : Dimensionality Reduction & Nonlinear Methods

Week Four : Dimensionality Reduction & Nonlinear Methods Week Four : Dimensionality Reduction & Nonlinear Methods

Attachment

Project_PeerEvalSheet.xlsx Project_PeerEvalSheet.xlsx 1

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External Url

Project_AnonymousFeedbackForm Project_AnonymousFeedbackForm 2

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Attachment

COGS109_SU_07-19_Ch6-PCregression.pdf COGS109_SU_07-19_Ch6-PCregression.pdf 3

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Page

LectureVideo_07-19_Ch6_PCRegression LectureVideo_07-19_Ch6_PCRegression 4

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Attachment

COGS109_SU_07-20_Ch6_PCregression_review.pdf COGS109_SU_07-20_Ch6_PCregression_review.pdf 5

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LectureVideo_07-20_Ch6_PCregression_review LectureVideo_07-20_Ch6_PCregression_review 6

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Discussion Week 4 Tuesday Discussion Week 4 Tuesday 7

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Attachment

COGS109_SU_07-21_Ch7_polynomialRegression_piecewiseFunctions.pdf COGS109_SU_07-21_Ch7_polynomialRegression_piecewiseFunctions.pdf 8

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LectureVideo_07-21_Ch7_PiecewiseFunctions LectureVideo_07-21_Ch7_PiecewiseFunctions 9

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Attachment

COGS109_SU_07-22_Ch7_smoothingSplines.pdf COGS109_SU_07-22_Ch7_smoothingSplines.pdf 10

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LectureVideo_07-22_Ch7_splines_smoothingSplines LectureVideo_07-22_Ch7_splines_smoothingSplines 11

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Week Five : Unsupervised Learning & Final Project Presentation

Week Five : Unsupervised Learning & Final Project Presentation Week Five : Unsupervised Learning & Final Project Presentation

Attachment

COGS109_SU_07-26_Ch10_PCA.pdf COGS109_SU_07-26_Ch10_PCA.pdf 1

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LectureVideo_07-26_Ch10_PCA LectureVideo_07-26_Ch10_PCA 2

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Attachment

COGS109_SU_07-27_Ch10_K-means.pdf COGS109_SU_07-27_Ch10_K-means.pdf 3

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Attachment

K-means_clustering.ipynb K-means_clustering.ipynb 4

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Quiz

Quiz 7: Unsupervised learning Quiz 7: Unsupervised learning 4 5

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Assignment

Data analysis project - Final Report Data analysis project - Final Report 90 6

assignment 964689 1

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Assignment

Data analysis project - Final Presentation Data analysis project - Final Presentation 10 7

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Attachment

FinalPresentation_Guidelines.docx FinalPresentation_Guidelines.docx 8

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LectureVideo_07-27_Ch10_K-means LectureVideo_07-27_Ch10_K-means 9

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FinalPresentationVideo FinalPresentationVideo 10

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete