Abhinav Thapper's repositories
Sentiment-Analysis-on-Product-Reviews
Text Classification Problem : Wrote a module to classify Amazon-Product Reviews as favourable/unfavourable. Achieved accuracy of 78% and an F1 score of .81 using Logistic Regression on a test-train split of 20%, where total records were around 50000.
CacheLLD
LLD of a cache.
CityGeoCoding
Project to get latitude longitude from addresses
FaceBookAPILLD
LLD of basic Facebook functions
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
system-design-resources
These are the best resources for System Design on the Internet
system_design
Preparation links and resources for system design questions
A simple tweet collection tool which fetched object related, real time tweets using the twitter API for Python Tweepy, . The tweets were cleansed of all URLS, special characters and emojis. Data so collected can be used to generate more tweets semantically similar to users tweets.
waste-classification-CNN-Image-Augmentation
A model to classify images of waste products as Organic or Recyclable. Applied Image Augmentation to images and used basic CNN to classify images using Keras. Analysed the performance using Tensorboard. Detected over fitting using metric curves (accuracy) and addressed it using Dropout Regularization.