Udacity Machine Learning Udacity Connect Lesson 01 Syllabus

In-person Udacity Connect Machine Learning Nanodegree syllabus

• Practice running python from within a Jupyter Notebook (FKA IPython Notebook).

• Become familiar with importing useful modules and packages, e.g. pandas, numpy, matplotlib.pyplot.

• Learn about the pandas data structures, including the Series and DataFrame objects.

• Create a DataFrame object from data in a comma-separated variable (csv) file using pandas.read_csv

• Index and select data from Series and DataFrame objects using loc and iloc

• Compute descriptive statistics on a Series or DataFrame, including the mean, the median, and the min & max

• Explore a public data set found on Kaggle

• Conduct some exploratory data analysis, and visualize trends in data using matplotlib

Pre Lesson Activities

• Student Handbook
• Class schedule and holidays
• It's an aggressive schedule
• Logistics
• Github repo

Lesson 1 in-person activity

• Meet classmates
• Meet and greet
• First lunch is provided. No free lunches in future sessions