Pinned Repositories
A-B-Testing---Statistical-tests
Amazon-product-co-purchasing-network-analysis
Analyzing and recommending Amazon products using graph-based methods and regression models.
awesome-papers
A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).
AWS-Cloud-Formation
Citibike-Demand-Prediction-Using-GCN-s
Customer_Segmentation_Analysis
Data-Engineering
deeplearning-docker
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Jersey-City-CitiBike-Demand-Prediction
Analyzing and predicting the demand for bikes using a Spatio-Temporal Graph Convolutional Network (STGCN) model.
Natural-Language-Processing-with-Disaster-Tweets
Predict which Tweets are about real disasters and which ones are not Microsoft DeBERTa
srushtii-m's Repositories
srushtii-m/Jersey-City-CitiBike-Demand-Prediction
Analyzing and predicting the demand for bikes using a Spatio-Temporal Graph Convolutional Network (STGCN) model.
srushtii-m/Natural-Language-Processing-with-Disaster-Tweets
Predict which Tweets are about real disasters and which ones are not Microsoft DeBERTa
srushtii-m/A-B-Testing---Statistical-tests
srushtii-m/Amazon-product-co-purchasing-network-analysis
Analyzing and recommending Amazon products using graph-based methods and regression models.
srushtii-m/awesome-papers
A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).
srushtii-m/AWS-Cloud-Formation
srushtii-m/Citibike-Demand-Prediction-Using-GCN-s
srushtii-m/Customer_Segmentation_Analysis
srushtii-m/Data-Engineering
srushtii-m/deeplearning-docker
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
srushtii-m/ETL-Analytics
Data Engineering on GCP and Mage AI
srushtii-m/Flight-fares-and-delay-prediction
Analysis of flight systems to check the effectiveness of using Twitter data in conjunction with traditional datasets to improve predictions.
srushtii-m/MLOps-With-AWS
MLOps pipeline leveraging AWS services, streamlining the path from model development to production with automated CI/CD, testing, and scalable deployment.
srushtii-m/Productivity-Prediction-in-R
Estimate factors associated with the productivity of garment manufacturing workers and perform regression analysis
srushtii-m/srushtii-m.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
srushtii-m/Walmart-Sales-Insights-A-Predictive-Modelling-Approach
This project focuses on forecasting weekly sales for a subset of Walmart stores using various machine learning and time series models.
srushtii-m/Explainable-k-means-clustering
IE 529 Project - IMM Algorithm for explainable k-means clustering
srushtii-m/GNN-RL
srushtii-m/makemore
srushtii-m/RL_Trading
srushtii-m/SQL_Practice
srushtii-m/STNSCM
This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"