Build a ML Classification Model in 12 Lines with PyCaret
Learn to rapidly build and evaluate a heart disease prediction model using PyCaret, a low-code ML library. Covers data loading, model training, testing, and saving in just 12 lines of code.
Building Recommender System in PHP8
Develop a fully functional Movie Recommendation Engine using PHP8 and Kaggle datasets. Learn recommendation system basics and create a customizable solution for personalized movie suggestions.
How to Do SDXL Training with Kohya LoRA - Kaggle - No GPU Required
Master Stable Diffusion XL training using Kaggle's free GPUs. Learn to set up, train, and utilize LoRA models with Kohya SS GUI, optimizing your AI image generation workflow.
AutoXGB - Automated ML with XGBoost + Optuna + FastAPI - Kaggle Demo
Explore AutoXGB, a Python library for automated machine learning using XGBoost, Optuna, and FastAPI. Learn its parameters and application in a Kaggle competition.
Understanding SHAP Summary Plot - Interpretable Machine Learning - Day 19
Explore SHAP and Shapley values for interpretable machine learning, focusing on summary plots and dependence plots to enhance model explainability and insights.
Feature Importance in Machine Learning - Permutation Importance with ELI5
Explore permutation importance in machine learning, understanding its significance and application through hands-on examples using ELI5 for Random Forest models.
Kaggle 30 Days of ML - Day 12 - Missing Values and Categorical Variables
Explore missing values and categorical variables in machine learning, learning practical approaches to handle data imperfections and enhance model performance.
Overfitting, Underfitting, and Random Forests in Machine Learning - Day 10
Explore overfitting, underfitting, and random forests in machine learning. Learn to build accurate models and apply these concepts to improve your ML skills.
Text Extraction From a Corpus Using BERT - Question Answering
Learn to extract text from tweets using BERT for sentiment analysis. Hands-on tutorial covers data preparation, model implementation, and evaluation for Kaggle competition.
How to Use Stable Diffusion, SDXL, ControlNet, LoRAs for Free Without a GPU on Kaggle Like Google Colab
Learn to use Stable Diffusion, SDXL, ControlNet, and LoRAs for free on Kaggle without a GPU. Step-by-step guide covers setup, model downloads, extensions, and troubleshooting for AI image generation.
Boosted Trees and Deep Neural Networks for Better Recommender Systems
Explore GPU-accelerated boosted trees and deep neural networks for building winning recommender systems, featuring insights from Kaggle Grandmasters on the ACM RecSys Challenge.
V-Express AI Talking Avatar Generator Tutorial - Cloud Installation and Usage Guide
Learn to use V-Express, an open-source tool for creating AI-powered talking avatars from static images. Covers installation and usage on various cloud platforms, including Massed Compute, RunPod, and Kaggle.
IP-Adapter-FaceID Tutorial - Installation, Usage, and Advanced Features
Comprehensive guide on using IP-Adapter-FaceID for face transfer across Windows, RunPod, and Kaggle. Covers installation, customization, model conversion, and advanced features for seamless image generation.
Stable Cascade Tutorial - Installation and Usage on Cloud Platforms
Comprehensive guide to installing and using Stable Cascade, a powerful AI image generation model, on various cloud platforms. Learn setup, optimization, and image management techniques.
Introducing Gemma - Google's Family of Open AI Models
Explore Gemma, Google's open AI models, with Tris Warkentin. Learn about its capabilities, responsible AI measures, and potential impact on developers. Discover Tris's journey from tech writing to AI product management.
Using SwarmUI and Stable Diffusion 3 on Cloud Services - Installation and Usage Guide
Learn to install and use SwarmUI with Stable Diffusion 3 on cloud services like Massed Compute, RunPod, and Kaggle. Covers setup, GPU optimization, model downloading, and image generation across platforms.
Fine-Tuning ViT Classifier with Retina Images and Converting to ONNX - Video 3
Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and convert the model to ONNX format for efficient deployment.
The State of Data Science and Machine Learning in 2022 - Kaggle Survey Insights
Explore insights from Kaggle's annual survey on data scientists, covering backgrounds, tools, work life, and industry trends. Gain valuable perspective on the field's current state.
Introduction to Kaggle for Data Science Competitions - Lecture 8.1
Learn to navigate Kaggle competitions, understand public and private leaderboards, and prepare for a custom dataset assignment using Large Language Models in this data science and machine learning guide.
Best Open Source Text-to-Speech AI Tutorial - Parler-TTS in 2024
Explore Parler-TTS, an open-source text-to-speech model generating natural speech in customizable styles. Learn about its features, implementation, and advantages over other TTS models.
How Deep Learning is Revolutionizing Sports Analytics
Explore how deep learning transforms sports analytics through player tracking, performance analysis, and data-driven decision making to revolutionize team strategies and viewer experiences.