Comments (2)
Hi, you can first choose a problem statement which you want/interested to work on. You can pick a specific domain and then look for use cases also. Based on the problem statement, look up for the dataset and see if its available anywhere like kaggle etc. If data is not available, you can create your own custom dataset from raw data through Data scraping techniques using beautifulsoup4 etc. Broadly speaking, any Data science project should have the following:
- Problem Statement
- Data Analysis
- Data Visualization
- Training Methodology
- Results and Inference
from ibm-data-science-capstone-project.
Thanks Broo
from ibm-data-science-capstone-project.
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- requesting Dataset HOT 4
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from ibm-data-science-capstone-project.