Stages of a Data Science Project
#shorts
Here are the usual steps you need to follow when working on a data science project:
Of course after understanding the business and the problem you are trying to solve here’s was you need to do:
1. Obtain - your data! Whether it is through scraping the web or querying a database...Get that Data! 👏🏻
2. Explore - sit down and start some EDA (Exploratory Data Analysis) - in this stage you will see some patterns and lacks in your data
3. Clean - now that you know what your data looks like, start cleaning it: i.e remove duplicate values, replace missing values, format strings etc.
4. Visualize - To enrich your data exploration process create some charts and cool visualizations that backup the patterns in your data.
5. Model - Implement the chosen Machine Learning Algorithm for your specific problem.
6. Interpret - Storytelling is BIG!! Get your results and prepare to present them in a non-technical environment.
These are of course general guidelines as a Data Science project is comprised of many more smaller steps..Now which one of these steps is your favorite??