Python Pandas Profiling - Why Data Profiling Is Important for You
Learn to generate detailed, interactive dataset reports using pandas-profiling. Explore column details, interactions, correlations, and more with just a few lines of code.
Quantum Professional Development for High School Teachers - Module 1: Introduction to Python and Jupyter Notebook
Learn Python basics in Jupyter Notebook, covering variables, complex numbers, and arrays. Designed for high school teachers to enhance quantum physics instruction.
Jupyter Notebooks in VS Code
Explore Jupyter Notebooks in VS Code: features, demos, and integrations for data scientists. Learn about Codespaces, Data Wrangler, and Dev Containers to enhance your workflow.
Intro to Data Analysis - Visualization with Python, Matplotlib and Pandas - Matplotlib Tutorial
Learn Python data analysis and visualization using Matplotlib and Pandas. Covers installation, data importing, plotting techniques, and real-world population growth analysis.
Python for Data Analysts and Data Scientists
Comprehensive guide to Python essentials for data analysis, covering Jupyter notebooks, data structures, libraries, and advanced pandas operations for effective data manipulation and insights.
Getting Started with Scientific Programming for Humanities Analytics
Introduction to scientific programming using Python, covering basics of language, shell, IDE, and Jupyter Notebooks. Learn to create lexicons, functions, and plots for text analysis in humanities research.
Modeling Data in Jupyter Notebook
Harness Python's power in Jupyter to analyze lab data, create models, and visualize results. Learn essential data manipulation techniques for physics research and experimentation.
Teaching Computer and Data Science with Literate Programming Tools - Emacs and Org-mode
Explore how Emacs and Org-mode enhance teaching computer and data science through literate programming, improving student engagement and learning outcomes.
Python Crash Course for Excel Users - Data Analysis with Python for Excel Users
Introduction to Python for Excel users, covering key concepts, tools, and applications for data analysis. Learn to leverage your Excel skills in Python for enhanced analytics and visualization.
PyCon US Lightning Talks - Diverse Python Topics and Experiences
Diverse lightning talks covering Python topics from low-level programming to career development, featuring insights on debugging, mentorship, NumPy 2, data storytelling, automation, and more.
Google Colaboratory and Python: Deep Learning Basics for Computer Vision Tasks
Master Google Colab for image processing while learning Python fundamentals, CNN architecture, and hands-on model training using CIFAR-10 dataset for computer vision tasks.
FASTER Code for Supervised Fine-Tuning and DPO Training with UNSLOTH
Explore practical implementation of UNSLOTH for accelerated Supervised Fine-Tuning and DPO-Alignment of LLMs using Jupyter notebooks with HuggingFace compatibility.
Fine-tuning ChatGPT with Synthetic GPT-4 Datasets - A Python Implementation
Master fine-tuning ChatGPT using Python and synthetic GPT-4 datasets through hands-on implementation of multi-GPT system interactions and advanced prompt engineering techniques.
Building RAG Systems: From Vector Embeddings to Self-Reflective CRAG - 5 Python Notebooks
Explore practical RAG implementations through 5 Python notebooks, from basic text embeddings to advanced self-reflective systems using LlamaIndex, Ollama, and ReAct Agent frameworks.
Introduction to the Text Recognizer Project - Full Stack Deep Learning - March 2019
Hands-on labs introducing text recognition project, covering setup, data handling, model creation, training, and deployment in a full-stack deep learning context.
Training AI to Code Using Project CodeNet - Largest Code Dataset
Explore Project CodeNet's vast code dataset and learn how to leverage it for machine learning tasks using MLX, including code classification and complexity analysis on Kubernetes.
Learn Docker Quickly - Machine Learning Project for Beginners
Hands-on Docker tutorial for beginners, covering containers, images, and Dockerfiles. Build a simple ML project using Huggingface Transformers and deploy to DockerHub.
Jupyter Notebook: Introduction to Symmetric Key Cryptography
Learn symmetric key encryption using Jupyter Notebook. Explore implementation, key generation, and practical applications for secure data protection.
Getting Started with Python Deep Learning for Beginners
Learn to set up Python, Jupyter, and TensorFlow for deep learning. Create environments, configure GPU, and train an image classifier. Perfect for beginners starting their deep learning journey.
Getting Started with AI Powered Q&A Using Hugging Face Transformers - HuggingFace Tutorial
Learn to implement AI-powered Q&A using Hugging Face Transformers. Explore BERT, transfer learning, and practical coding with pre-trained models for your own data and solutions.
Everything You Need to Know About Tensors in Deep Learning With PyTorch
Comprehensive guide to PyTorch tensors: creation, operations, data types, and GPU usage. Hands-on examples cover essential concepts for deep learning beginners.