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! shape, unique, nunique, mean, max, min, head, value_counts. Great job!

Things to work on:

You need to become a little more comfortable with Python and seaborn. Try taking a few simple tutorials online, and most importantly, practise! Mastery comes through repetition.

One minor tip:

You can use str module to make the job done more nicely.
```
ecom['CC Exp Date'].str.endswith('25')
```

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 ...

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.

hieutrungnguyen90 / machinelearning01

Thanks! #1

Things you did well:

Things to work on: