dataprofessor

import yfinance as yf
import streamlit as st

st.write("""
# Simple Stock Price App
Shown are the stock closing price and volume of Google!
""")

# https://towardsdatascience.com/how-to-get-stock-data-using-python-c0de1df17e75
#define the ticker symbol

dataprofessor

import yfinance as yf
import streamlit as st

st.write("""
# Simple Stock Price App
Shown are the stock **closing price** and ***volume*** of Google!
""")

# https://towardsdatascience.com/how-to-get-stock-data-using-python-c0de1df17e75
#define the ticker symbol

dataprofessor

import streamlit as st
import pandas as pd
from sklearn import datasets
from sklearn.ensemble import RandomForestClassifier

st.write("""
# Simple Iris Flower Prediction App
This app predicts the **Iris flower** type!
""")

dataprofessor

import streamlit as st
import pandas as pd
import numpy as np
import pickle
from sklearn.ensemble import RandomForestClassifier

st.write("""
# Penguin Prediction App

This app predicts the **Palmer Penguin** species!

dataprofessor

import pandas as pd
penguins = pd.read_csv('penguins_cleaned.csv')

# Ordinal feature encoding
# https://www.kaggle.com/pratik1120/penguin-dataset-eda-classification-and-clustering
df = penguins.copy()
target = 'species'
encode = ['sex','island']

for col in encode:

dataprofessor

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dataprofessor

dataprofessor