Machine Learning Concepts and Application of ML using Python
Learn core concepts of Machine Learning. Apply ML techniques to real-world problems and develop AI/ML based applications
What you’ll learn
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Learn the A-Z of Machine Learning from scratch
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Build your career in Machine Learning, Deep Learning, and Data Science
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Become a top Machine Learning engineer
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Core concepts of various Machine Learning methods
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Mathematical concepts and algorithms used in Machine Learning techniques
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Solve real world problems using Machine Learning
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Develop new applications based on Machine Learning
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Apply machine learning techniques on real world problem or to develop AI based application
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Analyze and implement Regression techniques
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Linear Algebra basics
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A-Z of Python Programming and its application in Machine Learning
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Python programs, Matplotlib, NumPy, basic GUI application
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File system, Random module, Pandas
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Build Age Calculator app using Python
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Machine Learning basics
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Types of Machine Learning and their application in real-life scenarios
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Supervised Learning – Classification and Regression
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Multiple Regression
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KNN algorithm, Decision Tree algorithms
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Unsupervised Learning concepts & algorithms
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AHC algorithm
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K-means clustering & DBSCAN algorithm and program
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Solve and implement solutions of Classification problem
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Understand and implement Unsupervised Learning algorithms
Requirements
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Enthusiasm and determination to make your mark on the world!
Who this course is for:
- Machine Learning Engineers & Artificial Intelligence Engineers
- Data Scientists & Data Engineers
- Newbies and Beginners aspiring for a career in Data Science and Machine Learning
- Machine Learning SMEs & Specialists
- Anyone (with or without data background) who wants to become a top ML engineer and/or Data Scientist
- Data Analysts and Data Consultants
- Data Visualization and Business Intelligence Developers/Analysts
- CEOs, CTOs, CMOs of any size organizations
- Software Programmers and Application Developers
- Senior Machine Learning and Simulation Engineers
- Machine Learning Researchers – NLP, Python, Deep Learning
- Deep Learning and Machine Learning enthusiasts
- Machine Learning Specialists
- Machine Learning Research Engineers – Healthcare, Retail, any sector
- Python Developers, Machine Learning, IOT, AirFlow, MLflow, Kubef
- Computer Vision / Deep Learning Engineers – Python