Strong Technical profile focused on Python, Machine Learning, Deep Learning, NLP.
More than 3 years of experience of competitive coding based on Algorithms and Data Structures.
1 Recognizing Handwritten Digits using Neural Nets
Created a module to implement the stochastic gradient descent learning algorithm for a feedforward neural network. Gradients are calculated using backpropagation. This module was build from scratch with the help of numpy library. Managed to achieve accuracy of 96.59%.
2 Twitter Sentiment Analysis using Emoticons
A novel method to analyze sentiments of tweets using both text and emoticons mentioned in the tweets. Emoticons included all the MoodLens four emoticon category. Sentiments include both polarity and subjectivity classification
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