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demo1

demo123

deploy-bert-for-sentiment-analysis-with-fastapi

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

dog_cat_classifier

dvc

dvc-demo

end-to-end-ml-project-template

exploring_deep_learning

This repository contains demo codes for exploration of deep learning basic concepts

face_recg

faulty-sensor-detection

fdsdcnnclassifier

fsdmproject2

fsds_nov_deepcnnclassifier

fsdscnnclassifier_dvc_template

fsdsm_stats_part2

fsdsmendtoend

google_stock_price

graph

helloworld_github_action_aws

hive-class

house_price_prediction

house_price_predictoin

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.

image-scrapper

image_scaper_fsdm

img_scraper

internship

internship-project

internship_project

jobmatch

k-nearest-neighbor