Machine Learning Using Python Video

Machine Learning Using Python Video

Objectives:

1. Become familiar with the concepts of machine learning, including the types of machine learning models such as Linear Regression, Decision Tree, and Nearest-Neighbors.
2. Understand start-to-end Machine Learning, including loading raw data from external sources, cleaning and converting data into desired formats, slicing the data into features and labels, slicing the data into training and testing datasets, instantiating machine learning models, fitting and transforming data into the models, testing the models against testing data, predicting values for new data, checking accuracy of the models, understanding and testing precision and recall, tuning the models, exporting fitted models, and importing them in other files.
3. Practice using Python 3+, Pandas, and Scikit-Learn.

Instructor: Abhishek Chhibber

Length: 2.5 hours

Access period: For one year starting from purchase date