Real-World Machine Learning Projects with Scikit-Learn
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Real-World Machine Learning Projects with Scikit-Learn Course
Predict heart disease, customer-buying behaviors, and much more in this course filled with real-world projects
In this course you will build powerful projects using Scikit-Learn. Using algorithms, you will learn to read trends in the market to address market demand. You’ll delve more deeply to decode buying behavior using Classification algorithms; cluster the population of a place to gain insights into using K-Means Clustering; and create a model using Support Vector Machine classifiers to predict heart disease.
Best Seller Course: Machine Learning with Javascript
What you’ll learn
- Work with Scikit-Learn’s Machine Learning tools to build efficient real-world projects using Scikit-Learn
- Predict demand for your products (to help your business adapt) by using Regression Trees
- Use Support Vector Machines to learn how to train your model to predict the chances of heart disease
- Analyze the population and generate results in line with ethnicity and other factors using K-Means Clustering
- Understand the buying behavior of your customers using Customer Segmentation to drive the sales of your products
You May Also Need This Course: Deep Learning: GANs and Variational Autoencoders
