A Quick Guide to Sentiment Analysis | Sentiment analysis in Python using Textblob | Edureka

A Quick Guide to Sentiment Analysis | Sentiment analysis in Python using Textblob | Edureka

Homeedureka!A Quick Guide to Sentiment Analysis | Sentiment analysis in Python using Textblob | Edureka
A Quick Guide to Sentiment Analysis | Sentiment analysis in Python using Textblob | Edureka
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Postgraduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
This video about sentiment analysis in Python is a short guide for those getting started with sentiment analysis.
Second part: https://youtu.be/27P268Q7pE0

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#MachineLearningUsingPython #MachineLearningTraning #SentimentAnalysis #PythonEdureka

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Python Programming Certification: http://bit.ly/37rEsnA
Python Certification Training for Data Science: http://bit.ly/2Gj6fux

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Data Scientist Masters Program: http://bit.ly/2t1snGM
Machine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN

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Postgraduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
NIT Warangal: https://bit.ly/3qdRRdw

How it works?

1. This is a 5-week instructor-led online course, 40 hours of assignment and 20 hours of project work
2. We have 24×7 one-on-one LIVE technical support to help you with any issues you may face or any clarifications you may need during the course.
3. At the end of the training, you will work on a real-time project for which we will provide you with a grade and a verifiable certificate!

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About the course

Edureka's Machine Learning course using Python is designed to let you learn the concepts of Machine Learning. The Machine Learning training provides an in-depth understanding of Machine Learning and its mechanism. As a Data Scientist you will learn the importance of Machine Learning and its implementation in the Python programming language. You are also offered Reinforcement Learning, which in turn is an important aspect of artificial intelligence. You can automate real-life scenarios using Machine Learning algorithms. Towards the end of the course, we will discuss several practical use cases of Machine Learning in the Python programming language to enhance your learning experience.

After completing this Machine Learning certification training with Python, you should be able to:
Gain insight into the 'roles' a Machine Learning Engineer plays
Automate data analysis with Python
Describe machine learning
Work with real-time data
Learn predictive modeling tools and techniques
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning Algorithms
Explain Time Series and its concepts
Gain expertise to do business in the future and live in the present

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Why Learn Machine Learning with Python?

Data Science is a collection of techniques that allow computers to learn desired behavior from data without being explicitly programmed. It uses techniques and theories from many fields within the broad areas of mathematics, statistics, computer science and computer science. In this course, you will be introduced to different classes of machine learning algorithms, such as supervised, unsupervised, and reinforcement algorithms. This course will equip you with the necessary skills such as data preprocessing, dimensional reduction, model evaluation and also expose you to various machine learning algorithms such as regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

Do you have a question about the subject? Share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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