Table of contents
Step 1: Introduce the Topic and the Problem Statement
The first step is to introduce the topic of your data science project.
When introducing the topic, make sure to present the problem statement also.
You create a project to show your analysis and findings to solve a problem, and the problem that you are solving is nothing but the problem statement.
Step 2: Explain Your Approach to Solving the Problem
To explain your approach to solving the problem and make sure you have a good understanding of the problem statement.
After understanding the problem statement, write about your plan for solving the problem.
Your plan for solving the problem is nothing but your approach to solving the problem.
Step 3: Introduce the Dataset and the Features
Introducing the dataset you are using for your project.
Here you have to write how you found this data, If you have downloaded it from somewhere, mention the website.
If you have collected it from a website using web scraping, mention the website and tools used to collect the data.
After introducing the dataset, explain the features in your dataset.
Step 4: Explain the Structure of Your Project
You are creating your project report after finishing the project. So, it will be easy for you to explain the structure of your project.
Here you have to explain the step-by-step process you have used in your project to solve a problem.
Step 5: Perform Analysis of Your Project
- It is an important step in your data science project report.
Explain whatever you have analyzed in your data.
If you have created data visualizations, explain them.
If you are choosing some features and dropping some, explain why you did so.
Explain your approach in every part of the project.
Step 6: Conclude Your Project
To conclude your project by explaining the analysis done and overall findings to solve the problem.
Make sure whatever you write in your conclusion is coming from the analysis and findings of your project.
Step 7: Mentioned the References
- At last, mention the references you used in any part of your project.