helloworld

hydra-tutorial

Companion code for a tutorial on using Hydra.

image_captioning_api

ineuron-assignments

This repository contains all the assignments given by iNeuron start date-2/16/2022

instagram-clone-ror

insurance_premium_cicd_aws

insurance_premium_pred_web_app

internation-space-station-tracker

internship_project

This is the intermediate level ml project made by me where the project name is Insurance premium prediction using ml-ops cycle.This is an intenship project from ineuron.ai

interview-question-data-science-

jycm

A flexible json diff framework for minimalist.

kafka_implementation

kaggle-fake-news-detection-using-lstm

ketangangal

kubernetes-learning-path

A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)

linreg-webapp

llama-cpp-python

Python bindings for llama.cpp

llmops_project

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

malaria-detection-app

Web app for Malaria detection from the human blood sample images which is trained on National Library of Medicine dataset using Flask and Python.

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-preprocessor-cli

ml-usecases

ml_dl_etl_aug

mlflow-introduction

docs for mlflow introduction

mlops-and-dvc-mini-project

mlops-application

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.

mlops-fundamentals

mlops_aws

mlops_project