Machine Learning with Scikit Learn Decoded | Python For NLP | Edureka | NLP Live - 1

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This Edureka session on "Scikit-learn Tutorial" will introduce you to machine learning in Python. It will also take you through regression and clustering techniques along with a demo on SVM classification on the famous iris dataset.
Topics covered in this video are:
00:00:00 Introduction
00:03:00 Machine Learning Overview
00:09:31 Introduction to Scikit-learn
00:16:48 Installation of Scikit-learn
00:17:10 Regression & Classification
00:18:00 SVM &KNN
00:20:00 Hands-on
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About Course :

About the Natural Language Processing with Python course
Edureka's Natural Language Processing Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. This NLP course has been packed up with a lot of real-life examples, where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed as a part of this NLP training. This NLP course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of this NLP Certification course, we will be discussing various practical use cases of NLP in the python programming language to enhance your learning experience.

What are the prerequisites for this NLP Course?
The prerequisites for this Natural Language Processing course is Python programming and a good understanding of Machine Learning concepts.

As a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on Python to brush up on your Python Skills.