CHIRANJEEVI KARTHIK
KURUGANTI
- Front-end Web Development
- Wordpress Development
- SQL
- Data Mining
- Machine Learning
- Deep Learning
- NLP
A fully documented python package to generate summary from the given chunk of text based on TF-IDF score.
A custom CNN was built to classify what emotion a face represents of various people.
Multiple emotions are extracted from each given tweet. App deployed to heroku.
When user gives his location, the model recommends the best crops to grow in that region.
The credit risk data was analyzed and a decision tree model was built to predict the future defaulters.
For the tweet emotion detection project we were awarded 4th place from over 7342 participants in AITHON.
Natural Language Processing with Classification and Vector Spaces from Deeplearning.ai.
Natural Language Processing with Probabilistic Models from Deeplearning.ai.