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Commit 1053e37

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‎Streamlit/Certificate app/Procfile‎

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web: sh setup.sh && streamlit run certificates.py
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# importing libraries
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import numpy as np
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import pandas as pd
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import streamlit as st
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import streamlit.components.v1 as components
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from PIL import Image
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st.title("My Certificates")
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st.subheader("By Mithun G")
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st.subheader("All certificates and badges received are displayed here")
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st.markdown('<p>Have completed the courses and received certificates from various platforms</p>',unsafe_allow_html=True)
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text_to_marked = """<p>Certifications and badges received are:</p>
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<ul>
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<li>Coursera - Google Crash Course on Python
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<li>Coursera - Google Data Analytics
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<li>IBM - Machine Learning with Python
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<li>LinkedIn Learning - Data Science Essentials Part - 1
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<li>LinkedIn Learning - Statistics Foundations(4 parts)
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<li>Kaggle - Micro Courses
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</ul>"""
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st.markdown(text_to_marked,unsafe_allow_html=True)
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st.text("---------------------------------------------------------------------------------------")
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st.text("Certificate Image:")
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st.sidebar.header("Select the Certificate platform to view")
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selected = st.sidebar.selectbox('Platforms:', ['None','Coursera','IBM','LinkedIn Learning','Kaggle'])
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if 'None' in selected:
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st.markdown("<h4>To view the certificates, select one from the slider</h4>",unsafe_allow_html=True)
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if 'Coursera' in selected:
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new_select = st.sidebar.selectbox('Course:',['Google Crash Course on Python','Google Data Analytics'])
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if 'Google Crash Course on Python' in new_select:
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st.markdown("<a href='https://github.com/Mithun162001/My-Certificates/blob/main/Coursera/Google%20Crash%20Course%20Certificate.pdf'>GitHub Link</a>",unsafe_allow_html=True)
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st.markdown("<a href='coursera.org/verify/T7F6DP9J67B8'>Credentials</a>",unsafe_allow_html=True)
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google = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Coursera\\google-image.png")
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st.image(google,caption="Crash Course on Python")
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if 'Google Data Analytics' in new_select:
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st.markdown("<a href='https://github.com/Mithun162001/My-Certificates/tree/main/Google%20Data%20Analytics'>GitHub Link</a>",unsafe_allow_html=True)
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st.markdown("<a href='http://coursera.org/verify/87PUUMFWYUQU'>Credentials</a>",unsafe_allow_html=True)
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google_1 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Google Data Analytics\\data analytics image\\0001.jpg")
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google_2 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Google Data Analytics\\data analytics image\\0002.jpg")
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st.image(google_1,caption="Foundations: Data, Data, Everywhere")
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st.image(google_2,caption="Ask Questions to make Data Driven decisions")
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if 'IBM' in selected:
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st.markdown("<a href='https://github.com/Mithun162001/My-Certificates/tree/main/IBM%20ML'>GitHub Link</a>",unsafe_allow_html=True)
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st.markdown("<a href='https://courses.cognitiveclass.ai/certificates/7639240d52d34dd98446654a7809f46b'>Credentials</a>",unsafe_allow_html=True)
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ibm = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\IBM ML\\Machine Learning with Python\\ML-image.png")
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st.image(ibm,caption="Machine Learning with Python - IBM")
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if 'LinkedIn Learning' in selected:
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new_select_2 = st.sidebar.selectbox('Course:',['Data Science Essentials - Part 1','Statistics Foundations'])
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if 'Data Science Essentials - Part 1' in new_select_2:
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st.markdown("<a href='https://github.com/Mithun162001/My-Certificates/tree/main/Linkedin%20Learning/Data%20Science%20Essential%20Training%20Part%201'>GitHub Link</a>",unsafe_allow_html=True)
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st.markdown("<a href='https://www.linkedin.com/learning/certificates/033d39c77d09348ebb5cc3c489bf5395573f14361f39b9e3a7a374d94cc8871b?trk=share_certificate'>Credentials</a>",unsafe_allow_html=True)
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ll1 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Linkedin Learning\\Data Science Essential Training Part 1\\essential-image.png")
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st.image(ll1,caption="Data Science Essentials - Part 1")
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if 'Statistics Foundations' in new_select_2:
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st.markdown("<a href='https://github.com/Mithun162001/My-Certificates/tree/main/Linkedin%20Learning/Statistics%20Foundations'>GitHub Link</a>",unsafe_allow_html=True)
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st.markdown("<a href='https://www.linkedin.com/learning/certificates/7e4ba218edbcf2c807633e35f81272ccf801ea1883ef3191b13d6311fdf03e98?trk=share_certificate'>Credentials</a>",unsafe_allow_html=True)
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ll2 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Linkedin Learning\\Statistics Foundations\\1.jpg")
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ll3 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Linkedin Learning\\Statistics Foundations\\2.jpg")
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ll4 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Linkedin Learning\\Statistics Foundations\\3.jpg")
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st.image(ll2,caption="Statistics Foundations:1")
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st.image(ll3,caption="Statistics Foundations:2")
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st.image(ll4,caption="Statistics Foundations:3")
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if 'Kaggle' in selected:
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st.markdown("<a href='https://github.com/Mithun162001/My-Certificates/tree/main/Kaggle'>GitHub Link</a>",unsafe_allow_html=True)
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st.markdown("<a href='https://www.kaggle.com/learn/certification/mithun162001/python'>Credentials</a>",unsafe_allow_html=True)
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kaggle_1 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Kaggle\\Kaggle Python Certficate.png")
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kaggle_2 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Kaggle\\Kaggle Pandas Certficate.png")
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kaggle_3 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Kaggle\\Mithun G - Data Visualization.png")
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kaggle_4 = Image.open("C:\\Users\\mithun\\OneDrive\\Desktop\\My-Certificates\\Kaggle\\Kaggle - Intro to Machine Learning.png")
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st.image(kaggle_1, caption="Python")
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st.image(kaggle_2, caption='Pandas')
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st.image(kaggle_3, caption='Data visualization')
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st.image(kaggle_4, caption='Intro to Machine Learning')
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‎Streamlit/Certificate app/setup.sh‎

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mkdir -p ~/.streamlit/
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echo "\
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[server]\n\
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headless = true\n\
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port = $PORT\n\
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enableCORS = false\n\
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\n\
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" > ~/.streamlit/config.toml

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