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Learn to build web applications in Python using Streamlit with Data Professor's 12-hour program, covering topics from machine learning to bioinformatics and finance.
Learn to build a content moderation app for audio files with Python in under an hour with Data Professor. Utilize AssemblyAI API and Streamlit library for transcription and moderation.
Learn to use DagsHub for machine learning projects in a practical, step-by-step tutorial by Data Professor. Less than 1-hour workload.
Learn to build your first machine learning model in Python using scikit-learn with Data Professor in under an hour.
Learn to build a data science portfolio website using Hugo and Hostinger in this 1-2 hour tutorial by Data Professor. Ideal for showcasing achievements and accomplishments.
Learn to build Python web applications using Streamlit with tips from Avra, a Streamlit Creator. Explore automation with Google Sheets and Firebase in this 2-hour material by Data Professor.
Learn Python basics with Data Professor in under an hour, covering installation, data types, variables, and loops.
Learn to build a Speech-to-Text Transcription App in Python using AssemblyAI API and Streamlit with Data Professor in under an hour.
This course teaches how to increase productivity, collaborate with teams, customize Notion, and make portfolio websites, e-books, and content with its templates.
"Data Professor's short tutorial on building your first data-driven web application using R and the Shiny package, with practical examples and interactive learning."
Learn to repurpose R code for new datasets with Data Professor's concise tutorial. Understand data modeling, summary statistics, and feature importance plots in under an hour.
Learn to build end-to-end data science projects using R programming with Data Professor. The program includes exploratory data analysis, machine learning, data pre-processing, and web app creation.
Learn Python for data science with Data Professor's 5-hour program, covering machine learning, hyperparameter tuning, Google Colab, web scraping, and more.
Learn to apply data science to bioinformatics projects with Data Professor. This 16-hour program covers drug discovery, machine learning, computational drug discovery, and building bioinformatics web apps.
Learn to build interactive web applications using R Shiny library with Data Professor's video collection. Includes creating a BMI calculator and deploying apps to Heroku.
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