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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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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.
Explore data storytelling with Vizzu, a Python tool revolutionizing data visualization. Learn to create impactful charts, animate visualizations, and effectively communicate insights for various audiences.
Learn to build a Python workflow that extracts knowledge from YouTube videos by downloading audio, transcribing it, and using AI to answer questions about the content.
Explore the journey from academic bioinformatics to practical data app development, bridging theoretical knowledge with real-world applications in biological data analysis and visualization.
Learn to build an end-to-end call center analytics workflow using Assembly AI and Python, covering transcription, speaker identification, sentiment analysis, and data visualization for extracting insights from conversations.
Learn essential workflows for creating and documenting data science projects in Google Colab, covering best practices for notebook organization and documentation in AI applications.
Learn to build a Python-based multilingual AI assistant that extracts audio, transcribes content, generates summaries, and synthesizes speech in 32 languages using AssemblyAI, Claude, and Eleven Labs.
Build a hands-free LLM voice agent in Python with speech-to-text, text-to-speech, and conversation memory for natural verbal interactions.
Learn to prepare and clean bioactivity data for aromatase inhibitors using Python and RDKit, covering data loading, duplicate removal, and SMILES standardization for ML-ready datasets.
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 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.
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