![]() ![]() If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. Since it is a Windows based program, all Windows compatible graphics cards and printers are automatically supported. In addition to video lectures you will learn and practice using hands-on labs and projects. 1 Introduction RES2DINV is a computer program that will automatically determine a two- dimensional (2-D) resistivity model for the subsurface for the data obtained from electrical imaging surveys (Griffiths and Barker 1993). You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. building machine learning regression models This course will take you from the basics of data analysis with Python to building and evaluating data models. Analyzing data with Python is an essential skill for Data Scientists and Data Analysts.
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August 2023
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