Yash Vijaynarayan Gupta's repositories
Big_Data_Project_US-Airlines_Tweet_Processing_and_Analysis
Big data application of Machine Learning concepts for sentiment classification of US Airlines tweets. The focus is on the usage of pyspark libraries (ml-lib) on big data to solve a problem using Machine Learning algorithms and not about the choice of algorithm used in the ML model creation. It also involves data pre-processing using NLP techniques, cross-validation and parameter-grid builder.
MLOPs_Collaborative_ML_with_Homomorphic_Encryption
Collaborative Machine Learning approach to train a mode that classifies a person as smoker or non-smoker based on the user data. The distributed approach of training is done with secure model transmissions to central cloud location where Amazon EC2 instance aggregates the new model based on new training received in Homomorphically Encrypted forms
AI_Graph_Search
AI related graph search algorithms with step-by-step implementation as well as comparison between different methods for cliff-walker problem.
AI_Minmax_AlphaBeta_Pruning
AI application of Min-Max algorithm including alpha-beta pruning approach for two agents in cliff-walker scenario
AI_MobileNet_Image-Classification
AI based image classification inspired MobileNet V2 architecture by implementing changes in base architecture and details about using it as a quick response model (proposition) for rapid application as well as comparing it with other models for the same application.
Big_Data_Assignments_MapReduce_Graphframe
Short projects on UTDallas Big Data course C6350 using PySpark MapReduce and Graphframe library
Big_Data_Extractive_Summarization
Big data final project - Encoder Decoder
Big_Data_Project_Movies_Search_Engine
Search Engine for querying movie names to search movies based on summaries using PySpark, Map-Reduce and tf-idf, cosine similarity.
Big_Data_Project_Page-Ranking_Airports
PySpark code to implement page ranking algorithm on airports dataset to highlight the relative importance of the airports according to the dataset.
ML_USA_pollution_prediction
LSTM (RNN) analysis of Time Series data (pollutant metrics) of 4 different pollutants (NO2, SO2, CO, O3) over US data.
Online-health-store-Academic-project
Academic fullstack project for an online pharmacy store.
Contact-book-Academic-project
Desktop based application for contact book utility based on java app.
ML_KNN_clustering_twitter_data
KNN clustering on twitter data using Jaccardian method of grouping for multiple "k values"
ML_Linear_Regression_Project
Linear Regression with and without libraries to study its working
ML_Neural_Network_Project
Implement Neural Network Models with different hyperparameters