Lab$\_$Final$\_$Project$\_$Guid...

$6.$ Project Deliverables:

LaTeX Report: Submit in PDF format along with the Overleaf project link.

Presentation: $5-7$ slides summarizing the project.

Code. Submit Python code in a Jupyter Notebook or Python script.

Report Guidelines $($LaTeX Format$)$

The report should include the following sections:

Title Page: Project title, group members' names, roll numbers, course name, and instructor's name.

Abstract: A concise summary of the project, problem, and results.

Introduction: Problem statement and motivation. Dataset description and its relevance.

Preprocessing: Steps talen to clean and preprocess the data.

Exploratory Data Analysis $($EDA$)$: Key insights and visualizations.

Model and Methodology: Explanation of the chosen algorithm$($s$)$ and implementation details.

Results and Evaluation: Model performance using metrics $($e$.$g$.$ accuracy, RMSE, F$1$ score$).$

Conclusion: Summary of findings, limitations$,$ and future improvements.

References: Proper citations for datasets, libraries, and papers.

Evaluation Criteria $(50$ Marks$)$

$\backslash$table$[[$Component$,$Weightage,Details$],[\backslash$table$[[],[$Dataset$]],5$ Marks,$\backslash$table$[[$Clarity of the problem$],[$statement and justification$],[$of dataset selection.$]]],[$Preprocessing & EDA,$10$ Marks,$\backslash$table$[[$Handling missing data,$],[$visualizations$,$ and insights$],[$from EDA.$]]],[\backslash$table$[[],[$Implementation$]],15$ Marks,$\backslash$table$[[$Correctness of algorithm$],[$choice$,$ implementation, and$],[$optimization$.]]],[$Results & Analysis,$10$ Marks,$\backslash$table$[[$Evaluation metrics, results,$],[$and discussion of findings.$]]],[\backslash$table$[[$Presentation & Report$],[$Quality$]],10$ Marks,$\backslash$table$[[$Presentation clarity, LaTeX$],[$formatting$,$ report$],[$structure$,$ and$],[$documentation$.]]]]$

Submission Guidelines

Technical Contribution:

Both students must be able to explain their roles during viva or project discussion.

Marks will be deducted if contributions are unequal or unclear.

Innovation:

Encourage originality in dataset selection or problem$-$solving approach.

Bonus $2-5$ marks for unique projects or advanced techniques.

Professionalism:

Deduct marks for incomplete or poorly formatted reports or missing files.

Submission Deadline: $16$ December $2024.$

Submission Format: LaTeX report in PDF format, Presentation slides in PDF$,$ Python code in a zip folder.