theshreyansh

Absenteeism-at-work

Project About Absenteeism at work

Anamoly-Detector

PyCaret’s Anomaly Detection Module is an unsupervised machine learning module that is used for identifying rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically, the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors . This module provide several pre-processing features that prepares the data for modeling through setup function. This module has over 12 ready-to-use algorithms and several plots to analyze the results of trained models

Aroha

Color

Project divided in two parts. 1- Data analysis on overall data 2- RCA on incidence happened

Customer-Churn-Machine-Learning-Model-Explainer-Using-Shapash

cv

Data-Minning

Code snippets, practices, exercises, homework's for the "Data Mining With Python" course, available at Pirple.com

Deals-

deep-dive-data-science

Exploring 'Data Science'

ethereum-smart-contract

Future

Golden-Gate-University-Worldwide-MBA-Upgrad

A website to provide my detailed experience on my MBA journey

Grape

Android application user's data analysis based on defined KPIs followed by QC cheks

heroku-node-app

node app with heroku

Intelligent-Loan-Approver

A model to approve or reject loan application based on customer's historical data

js-encrypt-decrypt

This page allows you to encrypt text with a specified key, yielding an encoded message, and decode encrypted messages, recovering the original text.

katacoda-scenarios

Katacoda Scenarios

Lens

Helping one of the top insurance industry clients to reduce unclaimed policy amounts via tracking the claimant's KYC details. Tools & Technologies: Excel, Knime, SQL. Machine learning

Linear_Regression_With_mlFlow

Logistiks

Following a comprehensive two-week workshop and visits to different plants to gain a deep understanding of the processes, provided the client with invaluable data-driven insights, highlighting process gaps, inefficiencies, root causes, and recommendations for optimizing their end-to-end logistics operations.

Machine-Learning-Model-Salary-Predictor

Predicting person salary based on historical data

portfolio

Regression-Model-Deployment-Using-IBM-Cloud

Sangath

shreyansh-code-20220204-vaghelashreyansh

size-limit

Calculate the real cost to run your JS app or lib to keep good performance. Show error in pull request if the cost exceeds the limit.

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

the-random-password-generator

theshreyansh.github.io

A simple cv/resume website

workshop-introduction-to-nosql

Hands-on for Introduction to NoSQL