Machine learning is a branch of artificial intelligence (AI) that allows computers to learn without having to be explicitly programmed. Machine learning is concerned with the creation of computer programs that can adapt to new data. We’ll study the fundamentals of machine learning and how to develop a simple machine learning algorithm in Python in this course.
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A machine can only understand the language of 0’s and 1’s. To input this learning behavior into it, we develop a Machine Learning Model. These models are equivalent to mathematical equations with an added ability to change their parameters if new data is supplied to them. Python has a variety of libraries like NumPy, pandas, seaborn, etc which are well suited for all the tasks involved in an ML model development. Most of these are data manipulation, model selection, model training, etc. Machine learning with Python deep dives into the basics of Machine learning using python as a well-known programming language. Through Machine Learning, you can innovate solutions for common problems, like spam filters, assistants for any personal problems, and any fraud detections. Machine Learning also promotes the growth of Artificial Intelligence.
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Introduction and Regression
Classification and Clustering
Support Vector Machine and Tree
Ensemble Machine Learning
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I would like to thank Trainer for the enhanced training provided for my course preparation.He has extensive knowledge in this topic a constant motivator and a brilliant person.
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