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Learn to build interactive web applications in Python using Streamlit, from basic data science apps to advanced machine learning tools. Covers deployment, customization, and real-world projects.
Master R programming fundamentals from setup to animated visualizations in this comprehensive 50-minute tutorial series.
Discover R programming fundamentals through hands-on tutorials covering environment setup, variables, file operations, and integration with Python and Google Colab.
Learn practical R data science skills through hands-on tutorials covering exploratory analysis, machine learning, data visualization, and building interactive web applications with Shiny.
Learn Python for data science through hands-on projects covering machine learning, web scraping, exploratory data analysis, and computational drug discovery. Gain practical skills using popular libraries and tools.
Learn to apply data science in bioinformatics for drug discovery, from data collection to model deployment, with hands-on projects and practical coding examples.
Learn to create interactive web applications using R Shiny, from basics to advanced features like data-driven apps and machine learning integration. Deploy your creations on Heroku.
Learn data mining with Weka's user-friendly interface. Master regression, classification, and drug discovery models through hands-on tutorials and practical examples.
Learn to build a Python app for audio content moderation using AssemblyAI API and Streamlit. Transcribe audio, analyze content, and create an interactive tool for efficient moderation.
Step-by-step tutorial on using DagsHub for machine learning projects, covering project creation, environment setup, remote storage configuration, version control, experiment tracking, and hypothesis exploration.
Learn to build a machine learning model in Python using scikit-learn. Covers data loading, splitting, model building with linear regression and random forest, comparison, and visualization.
Learn to build a data science portfolio website using Hugo and host it on Hostinger. Covers site creation, customization, and cloud deployment for showcasing your skills and achievements effectively.
Learn advanced Streamlit techniques for building Python web apps. Covers tips, tricks, components, and automation with Google Sheets and Firebase to enhance app functionality and user experience.
Learn Python basics: installation, data types, variables, type conversion, data combination, lists, and for loops in this concise 37-minute video tutorial.
Learn to build a Speech-to-Text Transcription App using AssemblyAI API and Streamlit. Create a command-line tool and web app to transcribe YouTube videos with Python.
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