About this course
Learn the basics of machine learning and how you can create a machine learning model with Python.
Machine learning in our world
48sWhat you should know
45sThe tools you need
1m 2sUsing the exercise files
1m 18sWhat is machine learning?
3m 59sWhat is not machine learning?
6m 14sWhat is unsupervised learning?
2m 39sWhat is supervised learning?
4m 5sWhat is reinforcement learning?
6m 6sWhat are the steps to machine learning?
5m 13sThings to consider when collecting data
3m 48sHow to import data in Python
5m 3sDescribe your data
3m 33sHow to summarize data in Python
6mVisualize your data
3m 42sHow to visualize data in Python
6m 23sCommon data quality issues
3m 42sHow to resolve missing data in Python
7m 34sNormalizing your data
4m 39sHow to normalize data in Python
4m 38sSampling your data
4m 7sHow to sample data in Python
6m 35sReducing the dimensionality of your data
3m 24sClassification vs. regression problems
3m 15sHow to build a machine learning model in Python
5m 55sCommon machine learning algorithms
5m 51sNext steps with applied machine learning
2m 43s