srushtii-m Goto Github PK

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.

etl-analytics

Data Engineering on GCP and Mage AI

explainable-k-means-clustering

IE 529 Project - IMM Algorithm for explainable k-means clustering

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.

jersey-city-citibike-demand-prediction

Analyzing and predicting the demand for bikes using a Spatio-Temporal Graph Convolutional Network (STGCN) model.

machine_learning

ML Practice

makemore

mlops-with-aws

MLOps pipeline leveraging AWS services, streamlining the path from model development to production with automated CI/CD, testing, and scalable deployment.

natural-language-processing-with-disaster-tweets

Predict which Tweets are about real disasters and which ones are not Microsoft DeBERTa

nlp

practice

productivity-prediction-in-r

Estimate factors associated with the productivity of garment manufacturing workers and perform regression analysis

sql_practice

srushtii-m.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

stnscm

This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"

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.