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Machine Learning In Python | Python Machine Learning Tutorial | Deep Learning Python | Edureka

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** Data Science Master's Program: https://www.edureka.co/masters-program/data-scientist-certification **
In this Edureka tutorial on "Machine Learning In Python", we will be covering all the fundamentals of Machine Learning. This is the second video in the "Python for Deep Learning" series, below are the first and third tutorials.

Part 1 (Python For Deep Learning): https://www.youtube.com/watch?v=azfWrlxVxDU

Part 3 (Introduction To TensorFlow): https://www.youtube.com/watch?v=uh2Fh6df7Lg

Below are the topics we will cover in this live session:

1. What is Machine Learning?
2. Machine Learning Applications
3. Types Of Machine Learning
4. Use-Case Demo

How it Works?
1. This is a 6 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Python Data Science course is designed to make you grab the concepts of Machine Learning. The course will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

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Why learn Data Science?

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.

For more information, please write back to us at [email protected]
Call us at US: 1844 230 6362(toll free) or India: +91-90660 20867

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शिक्षा - Education
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