PM Project $-$ Coded

Submission type

:

File Upload

Due Date

:

Jan $14,11$:$59$ PM IST

Total Marks

:

$60$

Available from

:

Dec $01,2023,8$:$00$ AM

Description

Dear Participants,

Please go through the following guidelines before you proceed to make your submission for the project.

There are two parts to the submission for the project

Business report: This file will be the primary criterion for evaluation

Supporting file: This file will be used to validate the content of the business report

The file formats for the submission are mentioned below:

Business report $-.$pdf

Supporting file $-.$ipynb

The supporting file will be the Python notebook used to conduct the analysis

Please note that in case the business report is not submitted, the assessment will be graded zero

As the business report is the primary criterion for evaluation, kindly make sure that all the required information asked in the rubric is included in the business report

Some rubric sections might have detailed descriptions associated with them. Kindly go through the details thoroughly

Submit answers to all the questions in a sequential manner

Include a detailed explanation of the approach taken, inferences, and insights

Include outputs such as graphs, tables, and all other relevant information

Do not include any codes

Ensure that the report is logical and detailed enough for a reader somewhat conversant in analytics to understand the solution mechanism

Refer to the Evaluation Guidelines document for instructions on how to make a proper business report

Refer to the Business Report $-$ Dos & Don'ts document for the best practices

Submitting the supporting file is mandatory as without it$,$ the business report cannot be validated

In case the supporting file is not submitted, your assignment will not be graded and you will be given Zero marks

Any assignment found copied$/$plagiarized with other submissions will not be graded and awarded zero marks.

Please ensure timely submission as any submission post$-$deadline will not be accepted for evaluation.

Thanks and Regards

Program Office

Scoring guide $($Rubric$)-$ PM Project Rubric

Criteria Points

Problem $1-$ Define the problem and perform exploratory Data Analysis

$-$ Problem definition $-$ Check shape, Data types, statistical summary $-$ Univariate analysis $-$ Multivariate analysis $-$ Use appropriate visualizations to identify the patterns and insights $-$ Key meaningful observations on individual variables and the relationship between variables

$8$

Problem $1-$ Data Pre$-$processing

Prepare the data for modelling: $-$ Missing Value Treatment $($if needed$)-$ Outlier Detection $($treat$,$ if needed$)-$ Feature Engineering $-$ Encode the data $-$ Train$-$test split

$5$

Problem $1-$ Model Building $-$ Linear regression

$-$ Apply linear Regression using Sklearn $-$ Using Statsmodels Perform checks for significant variables using the appropriate method $-$ Create multiple models and check the performance of Predictions on Train and Test sets using Rsquare, RMSE & Adj Rsquare.