In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms.īy the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency.
You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs.
With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. Download P圜harm 2022.3 Conda in the Python Packages tool window You can now search, install, and delete Conda packages through the Python Packages tool window, just one click away from the editor. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. Option 1 Install P圜harm with Flatpak By default, P圜harm does not come included on Debian 11 Bullseye repository, so it’s recommended to use an external installation manager so you can keep receiving updates. Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning.
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