arpanghosh130883

my_calculator

Dynamic_Margin_Prediction

Feature_Transformation

Lead-Classification_DVC_MLFLOW_CI_Docker_SagemakerEndpoint

LeadClassification_Model_Monitoring_PSI_CSI

pypi_template

dvc-ML-demo-AIOps

dvc-ML-demo-AIOps

TwitterSentimentAnalysis

MLOPS-Docker-GithubAction-Herku-Bostonhousepricing

Machine-Learning-Algorithms-Materials

MLOPs_Pipeline_housing_prediciton

Welcome to Machine Learning Housing Corporation! The first task you are asked to perform is to build a model of housing prices in California using the California cen‐ sus data. This data has metrics such as the population, median income, median hous‐ ing price, and so on for each block group in California. Block groups are the smallest geographical unit for which the US Census Bureau publishes sample data (a block group typically has a population of 600 to 3,000 people). We will just call them “dis‐ tricts” for short. Your model should learn from this data and be able to predict the median housing price in any district, given all the other metrics.

MLflow-project-template

CI-CD_Circleci_Project

ML-Production-Architecture--Level2-Pipeline

Custom-Image-Segmentation-using-Tensorflow-1.x

ML_Pipeline_usingTFx_Airflow

Mlops-Azure-Integration

MLops Azure Pipeline

Mlops-Sagemaker-integration

Lead-Classification-Semi-Supervised

AIOps-project-DVC-NLP-usecase

AIOps-project-DVC-NLP-usecase

Oneneuron_Assigments

Kubernetes-Setup-for-Production

Some Guides to setup Kubernetes for Production Environment

30days-interview-question-data-science-

WebScrapping

awesome-compose

Awesome Docker Compose samples

Model_Monitoring

Customer_Segmentation

Pyspark_Insurance-RF-

Natural_language_generation

Project_Design_Documents

As a part of my internship with iNeuron.ai, I worked independently on an end-to-end project "Heart Disease Diagnostic Analysis".