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| import streamlit as st | |
| # App Title and Introduction | |
| st.title('Machine Learning Learning Hub') | |
| st.write('Welcome to the ML Learning Hub, your gateway to learning Machine Learning!') | |
| # Navigation and Layout | |
| section = st.sidebar.selectbox('Choose a Section', | |
| ('Home', 'Beginner Resources', 'Intermediate Resources', | |
| 'Advanced Resources', 'Projects', 'Books', 'Communities')) | |
| # Define Sections | |
| # Home Section | |
| if section == 'Home': | |
| st.header('Welcome to the ML Learning Hub!') | |
| st.write('Select a section from the sidebar to begin exploring resources.') | |
| # Beginner Resources | |
| elif section == 'Beginner Resources': | |
| st.header('Beginner Resources') | |
| st.write('Here are some great resources for ML beginners:') | |
| st.markdown('[Machine Learning by Andrew Ng on Coursera](https://www.coursera.org/learn/machine-learning)') | |
| st.markdown('[Introduction to Machine Learning for Coders by fast.ai](https://course.fast.ai/ml)') | |
| st.markdown('[Google\'s Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course)') | |
| # Intermediate Resources | |
| elif section == 'Intermediate Resources': | |
| st.header('Intermediate Resources') | |
| st.write('Resources for those who are familiar with the basics:') | |
| st.markdown('[Deep Learning Specialization by Andrew Ng on Coursera](https://www.coursera.org/specializations/deep-learning)') | |
| st.markdown('[Kaggle Micro-Courses](https://www.kaggle.com/learn/overview)') | |
| st.markdown('[DataCamp Machine Learning Scientist with Python Track](https://www.datacamp.com/tracks/machine-learning-scientist-with-python)') | |
| # Advanced Resources | |
| elif section == 'Advanced Resources': | |
| st.header('Advanced Resources') | |
| st.write('For those looking to deepen their ML knowledge:') | |
| st.markdown('[Advanced Machine Learning Specialization on Coursera](https://www.coursera.org/specializations/aml)') | |
| st.markdown('[MIT\'s Deep Learning for Self-Driving Cars](http://selfdrivingcars.mit.edu/)') | |
| st.markdown('[The Elements of Statistical Learning: Data Mining, Inference, and Prediction](https://web.stanford.edu/~hastie/ElemStatLearn/)') | |
| # Projects | |
| elif section == 'Projects': | |
| st.header('Projects') | |
| st.write('Hands-on projects to apply your ML skills:') | |
| st.markdown('[Kaggle Competitions](https://www.kaggle.com/competitions)') | |
| st.markdown('[TensorFlow Projects](https://www.tensorflow.org/resources/learn-ml)') | |
| st.markdown('[GitHub ML Showcase](https://github.com/collections/machine-learning)') | |
| #Books | |
| elif section == 'Books': | |
| st.header('Books') | |
| st.write('Useful Texts:') | |
| st.markdown('[Deep Learning](https://udlbook.github.io/udlbook/)') | |
| st.markdown('https://www.deeplearningbook.org/') | |
| st.markdown('https://tensornetwork.org/') | |
| # Communities | |
| elif section == 'Communities': | |
| st.header('Communities') | |
| st.write('Join ML communities to learn and share:') | |
| st.markdown('[r/MachineLearning on Reddit](https://www.reddit.com/r/MachineLearning/)') | |
| st.markdown('[Data Science Stack Exchange](https://datascience.stackexchange.com/)') | |
| st.markdown('[AI & Machine Learning on Stack Overflow](https://stackoverflow.com/tags/machine-learning)') | |
| # Run the App | |
| # To run the app, save this script and use the command: streamlit run [script_name].py | |