seemanshu-shukla

Lecture-Notes

Lecture notes for full stack data science.

sensor-fault-detection

Designed and implemented a robust big data pipeline to store real-time streaming sensor readings in MongoDB using Confluent Kafka. Leveraged this data to create an end-to-end AI-powered application that can help reduce the unnecessary costs incurred while repairing heavy-duty trucks.

finance-complaint-PySpark

The classification problem statement to identify whether registered complaint will be disputed by the customer or not.

sensor-fault-detection-big-data-pipeline

This repo helps us to know how to publish and consume data to and from kafka confluent in json format for real time streaming sensor readings generated from edge/IOT devices.

Profile-Building

This repository is solely dedicated to the resources/knowledge that I will be sharing on social media platforms

Twitter-Sentiment-Analysis

Twitter Sentiment Analysis Using Textblob

CNN-CLASSIFIER

Generative-AI-and-LLM

Repository dedicated to Generative AI & LLM learning

DSA

Data structure and Algorithm

Application-Success-Prediction

Placement-Assignment_Seemanshu-Shukla

Placement Assignments

Diamond-Price-Prediction

This repo is the end to end implementation of a regression problem statement where we are trying to predict the price of diamonds based on a set of input features. Also, this repo demonstrates how we can perform CICD deployment using GitHub Actions, ECR and EC2

FSDSRegressionProject

End to End Regression Project implementation

Sample-Dockerized-Application

This repo demonstrates how one can dockize their application

demo-pipeline

Generic ML project structure