Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.After completing this Machine Learning Certification Training using Python, you should be able to: 1.Gain insight into the 'Roles' played by a Machine Learning Engineer 2.Automate data analysis using python 3.Describe Machine Learning 4.Work with real-time data 5.Learn tools and techniques for predictive modeling 6.Discuss Machine Learning algorithms and their implementation 7.Validate Machine Learning algorithms 8.Explain Time Series and it’s related concepts 9.Gain expertise to handle business in future, living the present
Introduction to Data Science, Data Extraction, Wrangling, & Visualization, Introduction to Machine Learning with Python, Dimensionality Reduction, Supervised Learning - II, Unsupervised Learning, Association Rules Mining and Recommendation Systems, Reinforcement Learning, Time Series Analysis, Model Selection and Boosting