Pinned Repositories
Custom-Image-Classification-Using-CNN
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).
rainfall-triggered-landslide-events
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.
Twitter-US-Airline-Sentiment-Analysis
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.
krishnakrish457's Repositories
krishnakrish457/Custom-Image-Classification-Using-CNN
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).
krishnakrish457/rainfall-triggered-landslide-events
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.
krishnakrish457/Twitter-US-Airline-Sentiment-Analysis
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.