coderschoolreview
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5 years ago The goal of this assignment is focus on
- Take a step further into visualization world.
- How to split your data into train and test part
- Correlation between each feature columns and label column
- Build your first model linear regression and try some methods to evaluate (MAE, MSE, RMSE)
- Make some insights and conclusion about the data
Things you did well:
- Understand the basic flow to deal regression task. Sklearn is well designed so you can apply this flow to other models such as logical regression, linear classification ...
- More familiar with seaborn, it's a library built on top matplotlib, very powerful and great potential for visualize task. Visualization plays an important role in data science. It's not only help you understand data but also a good way to explain the problem to your client, your boss.
Things to work on:
- Python, Pandas are very flexible, we can get the same result by many ways but just some of them is practical. So the more practice you do the more efficient the job is done.
Keep up the good work. You’re getting better and better.
The goal of this assignment was to introduce you to 2 main concepts in Machine Learning: Data Visualization and Exploratory Data Analysis. You learn how to query and clean data using pandas library in Python, make some plots which help to understand more about data with seaborn lib.
Things you did well:
Things to work on:
Overall, excellent work! You are demonstrating that you are understanding the material and doing a great job of applying it. Keep it up!