pandas documentation : https://pandas.pydata.org/pandas-docs/stable/index.html
matplotlib documentation: https://matplotlib.org/3.5.3/api/_as_gen/matplotlib.pyplot.html
seaporn documentation :https://seaborn.pydata.org/
data cleaning
sessions plan link
the task is three parts:
- numpy
- pandas
- statistics
every part contains three files:
- notebook tutorial
- extras
- exercises
> exercises must be submitted through google classroom
the task is two parts:
- matplotlib
- seaborn
power bi dashboard
1. Summarize chapter 1 from the book Hands on ML
2. Write a brief passage about ML meaning in your own words
3. propose an idea you can apply using ML
1. prepare a report on ML life cycle
2. complete exercises
3. read chapter 2 page 96 to page 176
1. prepare a report on ML life cycle
2. complete exercises
3. read chapter 2 page 176 to page 192
diamonds regression project:
1. build a regression model
2. well documented analysis +visualization