Pandas for Data Science - Python Crash Course
Learn essential Pandas skills for data science quickly. Create, update, visualize, and preprocess data frames from various sources, then output to CSV, JSON, and HTML formats.
Analyzing Twitter Accounts with Python and Personality Insights
Learn to analyze Twitter accounts using Python, Tweepy, and Watson Personality Insights. Create visualizations with Seaborn and Matplotlib to profile Twitter users and gain insights into their personalities.
PyScript Tutorial: Machine Learning with Scikit-Learn - Training and Interactive Prediction
Create interactive machine learning app with PyScript: upload CSV, train models, and make predictions using Pandas, Panel, and Scikit-Learn.
Excel to Simple Web Dashboard in R with FlexDashboard and Hosting on Hugging Face Spaces
Learn to create a simple web dashboard in R using FlexDashboard, transforming Excel data into an interactive visualization, and deploy it on Hugging Face Spaces for easy sharing and accessibility.
Build Machine Learning Blog with FastPages - Jupyter Notebook-Based Data Science Platform
Learn to create a free machine learning blog using FastPages, a powerful tool for data scientists to publish content from Jupyter Notebooks, Markdown, and Word documents.
Reddit Video Downloader in Python - Streamlit App Tutorial and Deployment
Build a Reddit video downloader app using Python, Streamlit, and Requests. Learn to fetch video links, download content, and deploy the web app on Hugging Face Spaces.
Automate and Deploy Jupyter Notebooks with GitHub Actions - MLOps
Learn to automate and deploy Jupyter notebooks using GitHub Actions, enhancing your MLOps workflow and streamlining the process of productionizing data science projects.
Real-Time Live Dashboard in Python Using Streamlit - Tutorial
Create a dynamic data science dashboard using Streamlit, featuring real-time updates for finance, marketing, or system monitoring. Learn key Streamlit components and Plotly Express charts integration.
Amazon SageMaker Studio Lab Tutorial - Google Colab Alternative
Learn to use Amazon SageMaker Studio Lab, a free tool for machine learning and data science with Jupyter notebooks, Python, R, and GPU support. Explore its features and advantages over alternatives.
SHAP and Shapley Values for Interpretable Machine Learning - Kaggle 30 Days of ML Day 18
Explore SHAP and Shapley Values for interpretable machine learning. Learn local interpretation techniques, Python implementation, and visualization methods for explainable AI.
Kaggle Competition Submission - Learn Python ML in 30 Days - Day 11
Learn to participate in machine learning competitions on Kaggle. Create and submit predictions, improving your skills through hands-on practice in a real-world competitive environment.
Building Your First Machine Learning Model and Model Validation - Day 9
Learn to build and validate your first machine learning model using scikit-learn. Explore techniques for handling large datasets, selecting features, and evaluating model performance through hands-on exercises.
Python Libraries and Operator Overloading for Machine Learning - Day 7 of 30 Days of ML
Explore Python libraries for machine learning, focusing on external code integration and operator overloading. Part of a 30-day challenge to build daily ML coding habits.
Python Strings and Dictionaries for Machine Learning - Day 6 of 30 Days of ML
Explore Python strings and dictionaries for machine learning, focusing on text manipulation and data organization techniques essential for ML projects.
Python Loops and List Comprehension - Kaggle 30 Days of ML Day 5
Explore Python loops and list comprehensions for efficient code execution in machine learning, condensing multi-line operations into concise, powerful one-liners.
Python Boolean, Conditionals, and IF-ELSE Statements - Kaggle 30 Days of ML Day 4
Learn Python fundamentals for machine learning: Booleans, conditionals, and if-else statements. Part of Kaggle's 30 Days of ML challenge to build daily coding habits.
How to Become a Practical Data Scientist with Kaggle Learn
Discover a comprehensive, free path to becoming a practical data scientist using Kaggle Learn's step-by-step courses, covering Python, machine learning, data visualization, and more.
AutoML Frameworks Accuracy Comparison with Kaggle Data
Explore the performance of popular AutoML frameworks across 10 Kaggle competitions, analyzing their accuracy and effectiveness in tackling real-world machine learning challenges.
Build Streamlit Dashboard Template for Python Data Science
Learn to build interactive data science dashboards using Streamlit in Python, covering layout design, data visualization, and customization techniques for creating professional-looking web applications.
Building and Deploying a YouTube Thumbnail Downloader with Python and Streamlit
Learn to create and deploy a Python-based YouTube thumbnail downloader using Streamlit, from concept to live web application. Gain practical experience in building and hosting a useful tool for content creators.
Building an AutoML Web App with Python, Pandas Profiling, PyCaret, and Streamlit
Build an AutoML web app using Python, Pandas Profiling, PyCaret, and Streamlit in this hands-on tutorial. Learn to create a powerful machine learning tool quickly and efficiently.