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

Siva Prakash

Last update: Apr 5, 2022

Related tags

Machine Learning Penguins-classification-app

Overview

Penguins Classification App

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 👇 :-

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Owner

Siva Prakash

I am a final year BCA student who more fascinated about data analysis and machine learning.

GitHub https://penguins-classification-ml-app.herokuapp.com/

To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.

1 Jan 11, 2022

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

Related tags

Overview

Penguins Classification App

Dataset Description:-

Meet the Palmer penguins

Installation :-

Packages Used :-

Demo GIF Image 👇 :-

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Retrieve annotated intron sequences and classify them as minor (U12-type) or major (U2-type)

Owner

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