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Assignment Task :

Unit Learning Outcome (ULO)

ULO1 - Perform linear regression, and linear classification for two and more classes using logistic regression model.

ULO2 - Perform model assessment and selection for linear and logistic regression models.

 

Purpose This assessment task is for students to demonstrate knowledge of linear classification. Students will be required to apply L1/L2 regularized logistic regression for a classification task. They will be selecting best hyper parameters and testing on their competency in designing accurate parsimonious classifier for a real-world problem.

 

Part-1: Linear Regression: 
1.
Load the dataset and split the data for training and testing - consider the data of last 2 years (2015 and 2016) for testing. Now exclude recording_date_time column from both training and test sets. Display the shape of training and test sets. 
2. Consider the 'temperature' as the target. List the insignificant features for predicting temperature, if any. Explain your findings.  
3. Now create a linear model considering the 'temperature' as the target variable and other columns as features (you can optionally remove non-contributing features). Show the test performance  

 

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  • Posted on : September 08th, 2018
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