This Guided Project was created by a Coursera community member.
Basic Data Analysis and Model Building using Python
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Overview
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By the end of this project learners will be able to perform data ingestion using Pandas and Numpy, preprocess and visualize the data using Matplotlib and Seaborn. Learners will also build a binary classification model using Scikit-Learn. Additionally, learners will be introduced to other data science concepts and techniques such as standardization and up- and down-sampling of biased data. It is important to manipulate your data such that it can then be used to build a predictive model.
This Guided Project was created by a Coursera community member.
This Guided Project was created by a Coursera community member.
Taught by
Rorisang Sitoboli