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Machine Learning Course | Edureka

Machine Learning Course | Edureka

** Machine Learning Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training ** This Edureka Machine Learning PPT on "Complete Machine Learning Course" will provide you with detailed and comprehensive knowledge of Machine Learning. It will provide you with the in-depth knowledge of the different types of Machine Learning with the different algorithms that lie under each category with a demo for each algorithm and the approach one should take to solve these problems. This PPT will be covering the following topics: What is Data Science? Data Science Peripherals What is Machine learning? Features of Machine Learning How it works? Applications of Machine Learning Market Trend of Machine Learning Machine Learning Life Cycle Important Python Libraries Types of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Detailed Supervised Learning Supervised Learning Algorithms Linear Regression Use Case(with Demo) Model Fitting Need for Logistic Regression What is Logistic Regression? What is Decision Tree? What is Random Forest? What is Nau00efve Bayes? Detailed Unsupervised Learning What is Clustering? Types of Clustering Market Basket Analysis Association Rule Mining Example Apriori Algorithm Detailed Reinforcement Learning Reward Maximization The Epsilon Greedy Algorithm Markov Decision Process Q-Learning Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

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