Learn Automated Machine Learning (Auto ML) With 10 Projects
Learn Automated Machine Learning (Auto ML) With 10 Projects
Learn Automated Machine Learning (Auto ML) With 10 Projects In the course you are going to learn about Automated Machine Learning (Auto ML) with python using google colab.
What you'll learn
- Learn to build model with AutoSklearn
Requirements
- Should Know Basics of Machine Learning
Description
Automated Machine Learning(AutoML) is currently one of the explosive subfields within Data Science. It sounds great for those who are not fluent in machine learning and terrifying for current Data Scientists. In this course, we are going to provide students with knowledge of Automated Machine Learning (Auto ml). Students will learn to use Auto Sklearn, Auto Keras, TPOT in their real-world problems.
In this course, we are going to work on
- Credit card fraud detection using Auto-Sklearn
- Mobile price prediction using Auto-Sklearn
- Medical insurance cost prediction using TPOT
- Red wine quality classification using TPOT
- Image classification using Auto-Keras
Automated machine learning (AutoML) spans the fairly wide chasm of tasks which could ... and engineering elbow grease needed to implement and configure an AutoML project. ... Dense(10, activation='softmax')) model.compile( optimizer=keras.optimizers.Adam( ... If you've used Scikit-learn, this should be familiar syntax.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. Autokeras ⭐ 7,658 · AutoML library for deep ...
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