Docker for Data Science Tutorial
Comprehensive Docker tutorial for data scientists, covering containers, images, installation, and Docker Compose. Learn to implement end-to-end data science projects using Docker.
SoK- The Dual Nature of Technology in Sexual Assault
Explores technology's role in sexual assault, examining both its potential for harm and its capacity to support victims, with recommendations for improved safety and support.
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis
Explore techniques for recovering private edges in graph neural networks through influence analysis, addressing privacy risks in vertically partitioned graph data.
How to Make a Project Budget Spreadsheet
Learn to create a comprehensive project budget spreadsheet with easy-to-follow steps, including calculations, fundraising tracking, and visual charts for competitions and folios.
Introduction to Python for Data Science
Explore Python tools for data science, covering data processing, visualization, and modeling. Learn end-to-end data science through a real-world case study with expert insights.
Apply LIME to Explain, Trust, and Validate Your Predictions for Any ML Model
Learn to implement LIME for explaining ML model predictions, with hands-on exercises using image classification models and custom Python implementations.
Transform Open-Source Self-Driving Cars Data to Analyze and Visualize Locally with Streetscape.gl
Learn to visualize and analyze self-driving car datasets locally using streetscape.gl. Step-by-step guide to download, transform, and explore KITTI and NuScenes data with open-source tools for in-depth autonomous vehicle analysis.
Beautiful and Informative Multilayer Stacked Geo Maps in Plotly With Python
Learn to create multi-layer stacked geo maps in Plotly with Python, combining hexbin, scatter, and density layers for beautiful and informative geospatial data visualizations and dashboards.
Mastering Fake Business Data Creation in Python With Faker
Learn to generate realistic fake business data using Python's Faker library. Covers standard and community providers, creating diverse datasets, and integrating with Pandas for analysis.
Understanding Graph Neural Networks - Part 1
Comprehensive introduction to Graph Neural Networks, covering fundamentals, mathematics, and practical implementation using NetworkX and PyG. Ideal for beginners seeking hands-on experience with GNNs.
How You Can Build Your Own Worldwide Wildfire Data Collection and Host on Kaggle
Learn to collect, process, and visualize global wildfire data using NASA sources, data engineering techniques, and tools like Kepler.gl, mapboxgl, and Streamlit for insightful analysis and presentation.
Implementing Nivo Graphs into CoreUI React Template
Comprehensive guide to integrating Nivo graphs into CoreUI React template, covering various chart types, customization, and implementation steps for creating interactive data visualizations.
Machine Learning with DataRobot AI Cloud Platform
Comprehensive tutorial on DataRobot AI Cloud Platform, covering machine learning model building, evaluation, and deployment. Explores key features like AutoML, bias detection, and model optimization.
An AI Engineer Guide to Comet Model Registry Platform
Learn to use Comet's Model Registry for logging, versioning, and deploying machine learning models. Explore key features like model export, registration, and monitoring in this hands-on tutorial using Keras and TensorFlow.
An AI Engineer Guide to Model Monitoring with Comet ML Platform
Learn to monitor AI models in real-time using Comet ML. Explore key features like automatic logging, experiment tracking, and data visualization to ensure optimal model performance in production environments.
Prepare Your Data for Machine Learning Like a Rockstar Data Engineer With DataRobot AI Platform
Learn to prepare data for machine learning using DataRobot AI Platform. Covers AI catalog creation, EDA, feature engineering, outlier detection, data joining, and more. Ideal for data engineers and analysts.
An AI Engineer Technical Guide to Feature Store with FEAST
Comprehensive guide to FEAST feature store for AI engineers, covering installation, setup, data handling, and integration with machine learning models. Includes hands-on examples and architecture review.
A Very First Look at H2O Hydrogen Torch
Explore H2O Hydrogen Torch: a no-code deep learning tool for diverse AI tasks. Learn its capabilities, experiment as novice and expert, and understand prediction pipelines and deployment options.
Modern and Postmodern Data Stack - Architecture and Why You Need It
Explore modern and postmodern data stack architectures, their features, and importance in data engineering. Learn why organizations need to evolve their data infrastructure for improved analytics and decision-making.
Impactful and Informative Geo Maps With Pandas and Plotly
Create impactful geo maps using Pandas and Plotly. Learn to visualize large datasets with bubble, heat, and hexagon maps. Hands-on tutorial covers data processing, Plotly integration, and map creation techniques.
Data Engineering and Storage Concepts - With ETL, ELT, Warehouse, Lake, and Lake House
Comprehensive overview of data engineering concepts, including storage solutions, ETL/ELT processes, and modern data architectures like data mesh, with practical examples and best practices for effective data management.