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Name: Rishabh Indoria
Type: User
Name: Rishabh Indoria
Type: User
Arthropod Object Detection utilizes the capabilities of CNN to classify as well as idenify what arthropod is present in the image and where it is. The project is built using Tensorflow, and can be easily run on Kaggle.
Aspect Based Sentiment Analysis utilized Dependancy Parsing and prebuilt Sentiment Intensity Analyzer model from nltk to predict sentiment for different reviews. This helps in identfying what part of the review is positive and what part is negative. The data used is a Car Reviews Dataset.
Predicting Hard Drive Failures attempts to tackle this problem via the use of different Machine Learning models. In this repo I have used various models for classifcation as well as regression, this is easily done via the use of PyCaret.
Walmart Workshop includes all the files utilized in the workshop. The workshop taught different methods for Time series forecasting, Supply Chain Optimization and Computer Vision. Walmart also held a hackathon, Round 1 of which is here and Round 2 is in the repo Predicting Drive Failure
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