Making a Web App Using Steamlit & Sublime Editor
Making prediction of the dataset:
- Breast Cancer Dataset
- Wine Dataset
- Iris Dataset
Authors
Installation
To install the libraries used in this project. Follow the below steps:
!pip install steamlit
import streamlit as st
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
#from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
from sklearn.neighbors import KNeighborsClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn import model_selectionRunning Flask Api
To run tests, run the following command
python app.py🚀 About Me
Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data
Hi, I'm Akash! 👋
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- Data Scientist
- Data Analyst
- Business Analyst
- Machine Learning