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Making a Web App Using Steamlit & Sublime Editor

Making prediction of the dataset:

  1. Breast Cancer Dataset
  2. Wine Dataset
  3. 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_selection

Running 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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👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

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  1. Data Scientist
  2. Data Analyst
  3. Business Analyst
  4. Machine Learning

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making App using Streamlit and Sublime Editor

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