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:

Discovered the usage of many new functions! unique, nunique, mean, max, min, head, value_counts. Great job!
Brilliant way to handle time series columns is converting to datetime. Glad you did it!
You seem comfortable with Python and are not afraid to try new functions and libraries. Awesome!

Keep up the good work with the homework assignments. Good job exploring the interesting machine learning questions.

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.

Congrats on your hard work! Keep going and do great thing.

huynguyencc / machinelearning

Thanks! #1

Things you did well: