Auto-Train a Time-Series Forecast Model with AML & ADB
Learn to auto-train time-series forecast models using Azure Machine Learning and Azure Databricks for large-scale enterprise solutions in supply chain, healthcare, insurance, and finance.
The Programming Ape: Optimizing Software Development for Human Cognition
Exploring human cognition to optimize software development tools, focusing on Yammer's experience in creating human-centric engineering solutions and addressing sociotechnical challenges.
PhpStorm Tutorial
Boost productivity with PhpStorm: Customize layout, create shortcuts, use live templates, and leverage plugins. Master key features for efficient PHP development.
Auto-Train a Time-Series Forecast Model with Azure Machine Learning and Azure Databricks
Discover how to efficiently build accurate forecasting models at scale using Azure Machine Learning and Azure Databricks, enhancing enterprise AI/ML capabilities for various industries.
Predict Giant Pumpkin Weights With Tidymodels Workflowsets
Learn to predict giant pumpkin weights using tidymodels workflowsets. Explore data visualization, modeling techniques, and parallel processing for efficient analysis of #TidyTuesday pumpkin competition data.
Create a Custom Metric with Tidymodels and NYC Airbnb Prices
Learn to create custom metrics, predict Airbnb prices, and combine tabular and text data in models using tidymodels with NYC listings data.
Predict Astronauts' Mission Duration With Tidymodels and Bootstrap Aggregation
Explore astronaut mission duration prediction using R's tidymodels and bootstrap aggregation, featuring data analysis, preprocessing, and model evaluation techniques.
Modeling GDPR Violations in R With Tidymodels
Explore data preprocessing and modeling for GDPR violations using tidymodels in R. Learn feature engineering, workflow creation, and prediction techniques with real-world data.
Lasso Regression with Tidymodels and The Office
Implement lasso regression using tidymodels and The Office data to learn regularized modeling techniques in R, with practical examples and visualizations.
Data Preprocessing and Resampling Using Tidymodels
Explore data preprocessing and resampling techniques using tidymodels in R, focusing on college tuition and diversity data to build effective models and improve analysis skills.
Get Started With Tidymodels Using Vaccination Rate Data
Explore MMR vaccination rates using tidymodels in R, from data preparation to Bayesian modeling and result comparison.
Modeling Hotel Bookings in R Using Tidymodels and Recipes
Learn to predict hotel bookings using R, tidymodels, and recipes. Explore data, create visualizations, and build decision tree models to gain insights into booking patterns and improve predictions.
Master SQL with Python: Maintaining Data in PostgreSQL Using Upsert - Lesson 12
Learn efficient data maintenance in PostgreSQL using Upsert. Master inserting, updating, and deleting rows to keep your data current and optimize your data analysis workflow.
Python for AI: Exploring and Cleaning Data with Pandas
Learn to explore, clean, and prepare data for machine learning using Pandas. Covers handling missing values, outliers, categorical data, and feature preparation for model training.
Sound Data Engineering in Rust - From Bits to DataFrames
Explore Rust for efficient data engineering, from low-level bit manipulation to high-performance DataFrames using Apache Arrow. Learn optimization techniques and benchmarks for improved data processing.
Master Using SQL with Python - Create a Data Warehouse with SQLite
Learn to build a local SQLite data warehouse by extracting and transforming data from SQL Server and PostgreSQL, simplifying your data analysis workflow with Python.
Master Using SQL with Python - Using SQL with Pandas
Explore SQL querying in Python with Pandas, enabling efficient data analysis and manipulation using familiar database language skills.
Kung Fu Data Wrangling in Python with Pandas
Learn essential Pandas techniques for efficient data manipulation in Python, covering dataframes, filtering, indexing, grouping, joining, and handling missing values with practical examples.
Azure Databricks with R - Deep Dive
Explore Azure Databricks using R for big data and machine learning. Learn Spark architecture, APIs, workspaces, and data manipulation techniques for efficient cloud-based analytics.
Azure Databricks SQL Introduction and Deep Dive
Explore Azure Databricks SQL in notebooks, covering syntax, widgets, databases, and advanced techniques for efficient data manipulation and analysis.
Azure Databricks - A Brief Introduction
Explore Azure Databricks, a Big Data service based on Apache Spark. Learn about its features, security, and integration with Python, R, SQL, and machine learning frameworks.