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Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.
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Bayesian Machine Learning in Python: A/B Testing
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Data Science Bootcamp: Pay only after you get a data science job.
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Machine Learning and Big Data Analytics with AWS
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Real-World Machine Learning Projects with Scikit-Learn
> Work with Scikit-Learn's Machine Learning tools to build efficient real-world projects using Scikit-Learn > Use Support Vector Machines to learn how to train your model to predict the chances of heart disease > Understand the buying behavior of your customers using Customer Segmentation to drive the sales of your products
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Data Science Projects with Python
> Use lasso and ridge regression to reduce overfitting > Fit and tune a random forest model and compare performance with logistic regression > Create visuals using the output of the Jupyter Notebook
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