Shubham Vyas's Projects
Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. This is also the phenomenon that animals like dogs and horses employ to be able to understand human emotion.
productionalization on Django.
The folder contains 5 problems & pdf contains description of five problems and Yelp dataset
Data Science project with data eda and model building.
The data science salary prediction, cleaning, model building and eda.
The project who rates a bot that tracks DODO price advantage and tweets about it in real-time.
This is a Clone of Amazon built with React, Firebase, and Stripe payment API.
Gate Websocket V4 SDK
A framework for building GitHub Apps to automate and improve workflow.
A Bug management project for Bug Hunter. Bug Hunter easily Manage Bug & track Bug.
Handwritten Digit Recognition on MNIST dataset
Hospital admission data was analyzed to accurately predict the patientโs Length of Stay at the time of admit so that the hospitals can optimize resources and function better.
Using UCI boston dataset created a model and looking for promising attributes, finding out correlations, plotting graphs, creating a pipeline, dealing with missing values and saving the model using joblib.
House Price Prediction using Django and Heroku to host. The Web App uses the UCI Boston dataset as inputs and predicts the output using RandomForestRegressor.
Worked on Stock Price Data, Data Visualisation, and created a Traders Dashboard during my virtual software internship at JP-Morgan.
Leetcode solutions
This sample application demonstrates how a Custom Vision Service exported TensorFlow model is added to a real-time image classification application.
A Nintendo inspired lightweight, No BS responsive single-page portfolio website built with HTML and CSS :space_invader:
NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures
Model building and predicting the Remaining Useful Life(RUL) using SVM(Support Vector Machine), XGBoost, RVM(Relevance Vector Machine).
Built a client-facing API using Django with Random Forest Regressor model calculates the predicted salary of a data scientist/engineer.
This is a small college project regarding the visualization of the scheduling algorithms with GUI input and output. It is also have visualization in graph. All are welcome to do UI changes , add animation, grant chart and add more algorithms and visualization like page scheduling, disk scheduling, etc.
Shubham Vyas' Github readme.