Creating Brand Identities from Start to Finish - Part 2
Learn to create a complete brand identity with mood boards, logos, color palettes, typography, and mockups using Illustrator and Photoshop. Gain insights on design processes and professional tips.
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.
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.
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.
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.
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 Processing Fundamentals - Extended Filtering with Multiple Datasets
Learn advanced data filtering techniques in Python, including category-based filtering, handling multiple datasets, and optimizing code with inline methods for efficient data processing.
Data Processing Fundamentals - Data Access and Filtering
Learn Python data processing techniques including data loading, reading, and value-based filtering. Gain practical skills in handling and manipulating datasets efficiently.
Talk to Wikipedia App with Streamlit, GPT-3, OpenAI Embeddings in Python, VS Code
Build an interactive "Talk to Wikipedia" app using Streamlit, GPT-3, and OpenAI embeddings. Learn to integrate APIs, debug in VS Code, and deploy your creation online.
Learn Data Science Full Course - 2020
Comprehensive introduction to data science, covering key concepts, tools, and methodologies. Ideal for beginners seeking to understand the field's fundamentals and career prospects.
Funnel Analysis with Apache Spark and Druid for Advertising Campaign Effectiveness
Learn to perform funnel analysis at scale using Apache Spark, Druid, and DataSketches. Discover techniques for measuring campaign effectiveness and analyzing user behavior in chronological order for large-scale advertising campaigns.
Introduction, Principles and Origin of Dagster
Introduction to Dagster: A data orchestrator for the entire application lifecycle. Covers principles, development, deployment, and monitoring. Includes demo and code snippets showcasing Dagit UI and Dagster programming model.
Degrading Performance - Understanding and Solving Small Files Syndrome
Learn how small files impact data pipeline performance, understand cloud storage and Apache Spark interactions, and discover DeltaLake solutions for improved efficiency in handling massive datasets.
Automated Metadata Management in Data Lakes - A CI/CD Driven Approach
Discover a CI/CD-driven approach to automated metadata management in data lakes, focusing on balancing development speed, governance, and schema evolution for rapidly growing organizations.
Advanced SQL for Data Scientists
Master essential SQL skills for data science: statistics, data prep, advanced filtering, window functions, and analytics tool integration.
Photon: Accelerating SQL Queries on Databricks Lakehouse Platform
Explore Photon, a C++ component for efficient query execution in Databricks Lakehouse. Learn about its vectorized processing, compatibility with Apache Spark, and performance enhancements for data-driven decision-making.
Koalas: Scaling Pandas APIs on Apache Spark - Performance and Comparison with Dask
Explore Koalas: pandas-like APIs for big data on Apache Spark. Compare performance with Dask, learn about recent updates, and understand its scalability for data science tasks.
Advancing GPU Analytics with RAPIDS Accelerator for Apache Spark and Alluxio
Learn to accelerate GPU analytics using RAPIDS for Apache Spark and Alluxio, enabling faster data access and processing for AI and analytics workloads across any cloud environment.