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Edureka's Machine Learning Course using Python in Pune provides you in-depth knowledge of Machine Learning. We offer live-instructor led sessions which will help you master the key concepts involved in Machine Learning such as what is Data Science, Era of Data Science, Data Extraction, Wrangling, & Visualization, Introduction to Machine Learning with Python, Supervised Learning - I, Dimensionality Reduction, Supervised Learning - II, Unsupervised Learning, Association Rules Mining and Recommendation Systems, Reinforcement Learning, Time Series Analysis, and Model Selection and Boosting.
Edureka's Machine Learning Course using Python is intended to enable you to grab Machine Learning ideas. The instruction in machine learning will provide a profound knowledge of machine learning and its mechanism. As a data scientist, you will learn the significance of machine learning in python programming language and its execution. In addition, Reinforcement Learning will teach you, which in turn is a significant element of Artificial Intelligence. Using Machine Learning Algorithms, you can automate real-life scenarios. Towards the end of the course, we will discuss multiple practical instances of Machine Learning in python programming language to improve your skills.
The pre-requisites for the Machine Learning Certification Training using Python includes development experience with Python. Fundamentals of Data Analysis practised over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous. You will be provided with complimentary “Python Statistics for Data Science Course” as a self-paced course once you enrol for the course.
Machine Learning Certification
Edureka’s Data Scientist with proficiency in Python Certificate Holders work at 1000s of companies like
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Skip for nowYou will do your Assignments/Case Studies using Jupyter Notebook that is already installed on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.
This course comprises of 34 case studies that will enrich your learning experience. In addition, we also have 3 Projects that will enhance your implementation skills. Below are few case studies which are part of this course:
Project #1:
Project #2:
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