Who should attend & recommended skills
- This course is designed for developers interested in building a strong foundation of machine learning algorithmsin7 days.
- Python: Basic (1-2 years’ experience).
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Course Skill Level:
Course Delivery Format:
Big Data & Data Science
Who should attend & recommended skills:
Python experienced developers
This course will address the problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on the existing trends in your datasets. This course covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-series. On completion of the book, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem.