US Election Prediction 2020 Latest | US Election Prediction Using Machine Learning | Simplilearn
The battle for the 2020 US Presidential election has begun. The Republican nominee Donald Trump and the Democratic nominee Joe Biden are fighting for a place in the White House. In this video, we will analyze the US elections using Twitter Sentiment Analysis in Python. You will understand how to extract tweets, store it in a CSV file, examine the tweets' polarity, and visualize the results. Finally, you will build a word cloud based on the tweets for Trump and Biden.
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⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4
#USElectionPrediction2020 #USElectionPredictionLatest #ElectionPredictionUsingMachineLearning #MachineLearningCourse #ElectionPredictionUsingDataScience #Simplilearn
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
👉Learn more at: https://bit.ly/3fouyY0
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The battle for the 2020 US Presidential election has begun. The Republican nominee Donald Trump and the Democratic nominee Joe Biden are fighting for a place in the White House. In this video, we will analyze the US elections using Twitter Sentiment Analysis in Python. You will understand how to extract tweets, store it in a CSV file, examine the tweets’ polarity, and visualize the results. Finally, you will build a word cloud based on the tweets for Trump and Biden.
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4
#USElectionPrediction2020 #USElectionPredictionLatest #ElectionPredictionUsingMachineLearning #MachineLearningCourse #ElectionPredictionUsingDataScience #Simplilearn
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
👉Learn more at: https://bit.ly/3fouyY0
For more updates on courses and tips follow us on:
– Facebook: https://www.facebook.com/Simplilearn
– Twitter: https://twitter.com/simplilearn
– LinkedIn: https://www.linkedin.com/company/simplilearn
– Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0
