Learn Machine Learning Python
Learn ML with Python 3 Offline
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Description
Learn Machine Learning with Python comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. This is an Excellent Guide to the Machine Learning with Python for building Intelligent web and Mobile Apps. If you are a new developer and thinking of learning ML then this app is going to be your best friend. Machine Learning is basically the field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do.
This app is packed with clear explanations, visualizations, and working examples. This app covers all the essential machine learning techniques in depth.
What you will learn in this app?
- Master the frameworks, models, and techniques that enable machines to 'learn' from data
- Use scikit-learn for machine learning and TensorFlow for deep learning
- Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
- Build and train neural networks, GANs, and other models
- Discover best practices for evaluating and tuning models
- Predict continuous target outcomes using regression analysis
- Dig deeper into textual and social media data using sentiment analysis
If you know some Python and you want to use machine learning and deep learning, then download this app. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this app is ideal for anyone who wants to teach computers how to learn from data. This app will also be useful for graduates, postgraduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum.
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This app is packed with clear explanations, visualizations, and working examples. This app covers all the essential machine learning techniques in depth.
What you will learn in this app?
- Master the frameworks, models, and techniques that enable machines to 'learn' from data
- Use scikit-learn for machine learning and TensorFlow for deep learning
- Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
- Build and train neural networks, GANs, and other models
- Discover best practices for evaluating and tuning models
- Predict continuous target outcomes using regression analysis
- Dig deeper into textual and social media data using sentiment analysis
If you know some Python and you want to use machine learning and deep learning, then download this app. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this app is ideal for anyone who wants to teach computers how to learn from data. This app will also be useful for graduates, postgraduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum.
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App Info
- Category
- Education
- Publisher
- Shahbaz Khan
- Languages
- English
- Recent version
- 2.0.0 (2 years ago )
- Released on
- Oct 18, 2019 (4 years ago )
- Also available in
- United States, South Korea, Russia, Mexico, Thailand, China, Chile, India, Canada, Taiwan, Brazil, Austria, Kazakhstan, Kuwait, Lebanon, Malaysia, Romania, Nigeria, Netherlands, Norway, New Zealand, Peru, Philippines, Pakistan, Poland, Portugal, South Africa, Saudi Arabia, Sweden, Singapore, Turkey, Ukraine, Vietnam, United Arab Emirates, Ecuador, Argentina, Australia, Azerbaijan, Belgium, Belarus, Switzerland, Colombia, Czechia, Germany, Denmark, Dominican Republic, Algeria, Japan, Egypt, Spain, Finland, France, United Kingdom, Greece, Hong Kong, Hungary, Indonesia, Ireland, Israel, Italy
- Last updated
- 1 month ago