Pinned Repositories
Bitcoin_analysis
This project is about to predicting the bitcoin future prizes using the current data available. We're using time-series data analysis for predicting the bit-coin prizes
ChatBot_Tensorflow_NLP
Artificial Intelligent ChatBot using Tensorflow and NLP that understand the Context and Intent of Human Language.
face-recognition
Heart-Failure-Prediction
This is our final group project for PRML Course on complete Machine Learning Pipeline implementation. We implemented a model using ensemble techniques which combines the predictions from five different models : LightGBM, Random Forest, XGBoost, Gradient Boosting and Gaussian Naïve Bayes.
NLP-deployment-using-Fast-API
This project is about creating API for machine learning model. Which includes applying NLP on the airline sentimental dataset. Implementing various models like Random Forest, Decision Tree, XGBoost, LightGBM, Logistic Regression and comparing results of all the models. Generating API for the best model using fastapi
Secure_Signup
This is the three factor authentication system, implemented using django.
Knowledge-Distillation-With-Ensemble-Calibration
Applied Augmentation Techniques to better Calibrate the Model along with ensemble of Knowledge Distillation to transfer knowledge from calibrated teacher models to shallow student model
DhruvViradiya1515's Repositories
DhruvViradiya1515/Bitcoin_analysis
This project is about to predicting the bitcoin future prizes using the current data available. We're using time-series data analysis for predicting the bit-coin prizes
DhruvViradiya1515/ChatBot_Tensorflow_NLP
Artificial Intelligent ChatBot using Tensorflow and NLP that understand the Context and Intent of Human Language.
DhruvViradiya1515/face-recognition
DhruvViradiya1515/Heart-Failure-Prediction
This is our final group project for PRML Course on complete Machine Learning Pipeline implementation. We implemented a model using ensemble techniques which combines the predictions from five different models : LightGBM, Random Forest, XGBoost, Gradient Boosting and Gaussian Naïve Bayes.
DhruvViradiya1515/NLP-deployment-using-Fast-API
This project is about creating API for machine learning model. Which includes applying NLP on the airline sentimental dataset. Implementing various models like Random Forest, Decision Tree, XGBoost, LightGBM, Logistic Regression and comparing results of all the models. Generating API for the best model using fastapi
DhruvViradiya1515/Secure_Signup
This is the three factor authentication system, implemented using django.