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01_CS130 First Program in Mimir 1 of 15

duration 12 minutes 56 seconds

01_CS130 First Program in Mimir

01_CS130 First Program in Mimir

01_CS130 First Program in Mimir

01_CS130 First Program in Mimir

Use the Mimir IDE to write a class and hello world program

From Nathan Johnson

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1.1 Introduction to Machine Learning.mp4 2 of 15

duration 21 minutes 38 seconds

1.1 Introduction to Machine Learning.mp4

1.1 Introduction to Machine Learning.mp4

1.1 Introduction to Machine Learning.mp4

1.1 Introduction to Machine Learning.mp4

From Sayani Sarkar

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1.2 Feature and model types 3 of 15

duration 21 minutes 24 seconds

1.2 Feature and model types

1.2 Feature and model types

1.2 Feature and model types

1.2 Feature and model types

From Sayani Sarkar

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1.3 Modelling Workflow 4 of 15

duration 21 minutes 33 seconds

1.3 Modelling Workflow

1.3 Modelling Workflow

1.3 Modelling Workflow

1.3 Modelling Workflow

From Sayani Sarkar

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1.4 and 1.5 Bias-Variance TradeOff and Ethics 5 of 15

duration 23 minutes 14 seconds

1.4 and 1.5 Bias-Variance TradeOff and Ethics

1.4 and 1.5 Bias-Variance TradeOff and Ethics

1.4 and 1.5 Bias-Variance TradeOff and Ethics

1.4 and 1.5 Bias-Variance TradeOff and Ethics

From Sayani Sarkar

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1.6 Data preprocessing 6 of 15

duration 26 minutes 48 seconds

1.6 Data preprocessing

1.6 Data preprocessing

1.6 Data preprocessing

1.6 Data preprocessing

From Sayani Sarkar

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1.7 Feature transformations 7 of 15

duration 28 minutes 32 seconds

1.7 Feature transformations

1.7 Feature transformations

1.7 Feature transformations

1.7 Feature transformations

From Sayani Sarkar

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1.8 Imputation techniques 8 of 15

duration 20 minutes 44 seconds

1.8 Imputation techniques

1.8 Imputation techniques

1.8 Imputation techniques

1.8 Imputation techniques

From Sayani Sarkar

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1.9 Case study- Feature encoding in the… 9 of 15

duration 28 minutes 47 seconds

1.9 Case study- Feature encoding in the…

1.9 Case study- Feature encoding in the healthcare data

1.9 Case study- Feature encoding in the…

1.9 Case study- Feature encoding in the healthcare data

From Sayani Sarkar

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2.1 Linear Regression 10 of 15

duration 28 minutes 29 seconds

2.1 Linear Regression

2.1 Linear Regression

2.1 Linear Regression

2.1 Linear Regression

From Sayani Sarkar

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2.2 Elastic net regressor 11 of 15

duration 28 minutes 44 seconds

2.2 Elastic net regressor

2.2 Elastic net regressor

2.2 Elastic net regressor

2.2 Elastic net regressor

From Sayani Sarkar

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2.3 k-nearest neighbors for regression 12 of 15

duration 15 minutes 33 seconds

2.3 k-nearest neighbors for regression

2.3 k-nearest neighbors for regression

2.3 k-nearest neighbors for regression

2.3 k-nearest neighbors for regression

From Sayani Sarkar

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2.4 Case study regression models 13 of 15

duration 20 minutes 31 seconds

2.4 Case study regression models

2.4 Case study regression models

2.4 Case study regression models

2.4 Case study regression models

From Sayani Sarkar

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2.5 and 2.6 Loss function and metrics for… 14 of 15

duration 24 minutes 51 seconds

2.5 and 2.6 Loss function and metrics for…

2.5 and 2.6 Loss function and metrics for regression

2.5 and 2.6 Loss function and metrics for…

2.5 and 2.6 Loss function and metrics for regression

From Sayani Sarkar

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2.7 Case study: Predicting trip prices with… 15 of 15

duration 8 minutes 51 seconds

2.7 Case study: Predicting trip prices with…

2.7 Case study: Predicting trip prices with regression

2.7 Case study: Predicting trip prices with…

2.7 Case study: Predicting trip prices with regression

From Sayani Sarkar

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Managers:: Nathan Johnson
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Sayani Sarkar
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