Penguins species predictor app is used to classify penguins species created using python's scikit-learn, fastapi, numpy and joblib packages.

Overview

Penguins Classification App

made-with-python html python numpy pandas scikit-learn fastapi heroku vscode

Penguins species predictor app is used to classify penguins species using their island, sex, bill length (mm), bill depth (mm), body mass (g) and flipper length (mm) created using python's scikit-learn, fastapi, numpy and joblib packages.

Dataset Description:-

The goal of palmerpenguins is to provide a great dataset for data exploration & visualization, as an alternative to iris.

Meet the Palmer penguins

Installation :-

To install all necessary requirement packages for the app 👇

pip install -r requirements.txt

Packages Used :-

import joblib
import numpy as np
import pandas as pd
from fastapi import FastAPI, Form, Request
from fastapi.responses import HTMLResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates

Demo GIF Image 👇 :-

output_image

Owner
Siva Prakash
I am a final year BCA student who more fascinated about data analysis and machine learning.
Siva Prakash
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Penguins species predictor app is used to classify penguins species created using python's scikit-learn, fastapi, numpy and joblib packages.

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