Reference no: EM132248696
Assignment -
Project on Stock Prediction using sentimental analysis (Using R or Python Programming Language).
CAPSTONE PROJECT: FINAL SUBMISSION
Project Title
Project Description
Final deployment of the project
List your major learnings from this project.
Major tools used
Final number of data points used in the project
Final number of data points used for training
Final number of data points used for testing / validation
Mention cross validation techniques used, if any
Data sourced from
Methods used to source the data
Challenges faced to source data
Describe the efforts spent and challenges overcome during data preparation, and the steps used.
Outline the major steps used to implement the project.
List the major machine learning techniques used / implemented in your project.
Mention the major challenges faced and overcome during model creation.
List the techniques used to explore the data.
List the outcome of data exploration.
List any unsupervised learning technique used during data exploration.
How many features were finally identified to create the model.
Describe your Feature Engineering steps, if any.
List and describe any feature reduction techniques used.
Project Proposal -
1. Title of the Project
2. Brief on the project: A brief proposal that describes the idea for a project, the work you intend to perform. In particular, it should identify the project type, the problem you plan to address, the motivation for why you find the problem important or interesting, any previous work you already know about, and a rough tentative approach to solving the problem.
3. Deliverables of the project: A high-level description of the general approach you will use to address the problem. This should include how you will evaluate and what evidence you are planning to gather (e.g. how you can solve the problem through experiments on data)
- List of questions your model/problem are designed to answer.
- Details of the model , important findings, expecting observations and outcome.
Note - All codes line should e commented for explanation to allow the user provide write up independent documentation on the codes.
Attachment:- Assignment Files.rar