Sentiment Analysis of 1.6 Million Tweets using Machine Learning | In Just 20 Mins!

In this interesting tutorial video, Harshit Tyagi a Data Science instructor explains about how to carry out a sentiment analysis on 1.6 Million tweets.
This can be a very interesting project that you can put in your resume if you are looking for good data science jobs.
Do check out the complete video to know more
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0:29 Analysis of 1.6 Million Tweets.
0:48 Prerequisites(Knowledge of Python, Basic Data Analysis)
1:30 Data Set for Twitter Analysis.
5:30 Stop words
6:29 Getting rid of unwanted columns.
7:21 Working with Textual Data
7:26 Preprocessing Tasks. ( Casing, Noise removal, Tokenization, stopword removal, Lemmatization)
9:10 Normalization
10:45 Code for the complete analysis.
17:45 Vectorrizing Tokens
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You can also watch other interesting ML and Data Science videos
Introduction to Machine Learning course: https://youtu.be/RlYdvD8S9yM
Supervised Learning and it's various types: https://youtu.be/ffG0diijoSc
ML Vs Data Science: https://youtu.be/OZL8ww4Ef2A
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Видео Sentiment Analysis of 1.6 Million Tweets using Machine Learning | In Just 20 Mins! канала Coding Ninjas India