Basic Data Analysis and Model Building using Python (Coursera)

Basic Data Analysis and Model Building using Python (Coursera)
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Basic Data Analysis and Model Building using Python (Coursera)
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.

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In this Guided Project, you will:

- Ingest a dataset into a Jupyter Notebook environment using Pandas and create visualizations using the Matplotlib and Seaborn libraries.

- Preprocess data through standardization, resampling using Scikit-Learn.

- Build, train and save an accurate binary classification model.


Learn step-by-step

- Data ingestion and visualization

- Data preprocessing (standardization and scaling)

- Data preparation and Principal Component Analysis intro

- Build and train a binary classification model

- Versioning



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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Free Course

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.