Learn how to build machine learning and deep learning models for many purposes in Python using popular frameworks such as TensorFlow, PyTorch, Keras and OpenCV.
Learn how to detect AI-generated text in Python using preprocessing, feature extraction, and a scikit-learn classifier that estimates whether a document was written by a human or a machine.
Learn how text embeddings work in Python using Sentence Transformers. Generate embeddings, compare semantic similarity, and visualize the embedding space with PCA, t-SNE, heatmaps, and dimension analysis.
Build a fully local semantic search engine in Python using FAISS and Sentence Transformers. Learn how embeddings work, index vectors, run semantic queries, and visualize the embedding space with PCA.
Learn how to build an automated pothole detection system using YOLOv5. This step-by-step tutorial covers environment setup, model training with a custom dataset, and running inference for real-time detection on images.
Build a real MCP server and client in Python using FastMCP. Implement a Todo Manager with tools, resources, and prompts, test it programmatically, then wire it into Claude Desktop, VS Code, and Cursor. Includes simple production deployment tips.
Learn to create professional audiobooks in Python with ElevenLabs’ AI text-to-speech, covering setup, voice options, and full generation.
Learn to build a full-stack RAG chatbot with FastAPI, OpenAI, and Streamlit. Step-by-step guide to create a chatbot answering questions from uploaded PDFs.
Learn how to transcribe and summarize YouTube videos using Python! This tutorial covers extracting video transcripts with YouTubeTranscriptApi, processing text with NLTK, and generating AI-powered summaries using OpenRouter's Mistral model.
Explore the top 3 AI code generators—CodeConvert, ZZZ Code AI, and CodingFleet. Compare their features, pros, and cons to find the best tool for your coding needs, with CodingFleet leading for its advanced features and versatility.
Master Python facial recognition with our step-by-step tutorial. Build real-time and image upload systems to identify faces with precision. Essential for security, attendance, and more. Perfect for beginners. Dive into the biometric tech world now!
Learn how to perform vehicle detection, tracking and counting with YOLOv8 and DeepSORT using OpenCV library in Python.
Learn how to use stable diffusion 4x upscaler to upscale your low-resolution images into high quality images with Huggingface transformers and diffusers libraries in Python.
Learn how you can edit and style images using Instruct-Pix2Pix with the help of Huggingface diffusers and transformers libraries in Python.
Learn how you can control images generated by stable diffusion using ControlNet with the help of Huggingface transformers and diffusers libraries in Python.
Learn the current state-of-the-art models (such as BLIP, GIT, and BLIP2) for visual question answering with huggingface transformers library in Python.
Learn what is the ROUGE score and how to calculate it using rouge_score library in Python.
