krishnakrish457 Goto Github PK
Name: Krishna V
Type: User
Name: Krishna V
Type: User
Using the image dataset apply two classification models and compare their results.One model must be a transfer learning algorithm and the other a convolutional neural network (CNN).
Data acquisition through API, pre-processing, data analysis, feature extraction, transformation and visualisation as necessary are all developed using the Global Landslide Catalog (GLC) dataset, which is then loaded into a MangoDB database.
Performing text analytics to comprehend the sentiments mentioned in Tweets, as well as applying proper pre-processing for text data and creating 15 word clouds for each type of sentiment (negative, neutral, and other).Finally, the top 5 MOST USED WORDS for each emotion type throughout the whole dataset are displayed.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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