Introduction to Event Log Mining with R
Learn to mine event logs using R and ProM, covering scenarios, benefits, data requirements, analysis techniques, and feature creation for machine learning models in various data sources.
Unstructured Text With Python, Microsoft Cognitive Services & PowerBI
Explore text analytics and sentiment analysis using Python, Microsoft Cognitive Services, and Power BI. Learn industry applications, overcome challenges, and visualize results beyond tag clouds.
Scale R to Big Data with Hadoop & Spark
Learn to scale R for big data using Hadoop and Spark. Set up a Spark cluster, wrangle HDFS data, and build/deploy machine learning models using Microsoft R Server and distributed processing libraries.
Feature Exploration, Visualization, and Predictive Modeling with R and Azure ML
Explore predictive analytics using the Titanic dataset. Learn feature exploration and visualization with R, then build models using Azure ML Studio for efficient experimentation.
Web Scraping Tutorial Using Python and BeautifulSoup
Learn to extract data from websites using Python and BeautifulSoup. Master web scraping techniques to automate data collection and analysis for various applications.
Location and Context Awareness in Android Apps - Strategies for Speed and Efficiency
Explore location-based and context-aware app development, focusing on efficient data management, maps, places, and beacons. Learn strategies for speedy data discovery and filtering to enhance user experience.
Grow Your Business with Player Analytics for Mobile Games
Discover how Player Analytics provides game developers with crucial insights into player behavior, spending patterns, and churn prediction to optimize gameplay and boost business growth.
Visualizing SpaceX Launches With Python - Full Tutorial
Learn to create a web application visualizing SpaceX launch data using Python, Flask, HTML, and CSS. Covers API integration, data display, and deployment for global access.
Signs and Signals of Sub-Optimal Game Monetization - Strategies for Improvement
Discover key signals for optimizing game monetization, strategies to boost buyer conversion, and techniques for revenue growth in mobile gaming.
Python Regular Expressions - Defining Search Patterns and More
Learn to define search patterns and manipulate text using Python's regular expressions module, enhancing your ability to extract and process information from various data sources.
What's New in Android Architecture Components 2019
Explore the latest updates in Android Architecture Components, including new libraries for 2019, data binding improvements, and enhanced database functionality.
Building ASP.NET Core Application with REST API and Charts
Learn to build interactive dashboards and charts in ASP.NET Core using FusionCharts. Create a weather application with REST API integration, data visualization, and responsive design techniques.
Full Stack Reactive with Spring WebFlux and React
Explore techniques for building fully reactive applications using Spring WebFlux and React. Learn to stream data to the UI for constant updates in this live coding session with Q&A.
Traveling Through a Secure API with Python and Auth0
Learn to build a secure "Where Have I Been" map application using Python and Auth0, covering API endpoints, data handling, and deployment in this step-by-step tutorial.
Introduction to SQL for Banking and Financial Case Studies
Learn essential SQL skills for banking and finance through hands-on case studies, building on a SQLite database. Gain practical knowledge to kickstart your data analysis journey in the financial sector.
Introduction to SQLite - CSV to SQLite Import
Learn to import CSV data into SQLite databases efficiently using Python, with practical examples for financial data management in banking contexts.
Automated Research: Extracting Companies from PDF and Googling Them Using PyPDF2 and Regex - Python Tutorial
Extract company names from PDFs and automate research using Python, regex, and web browsing. Ideal for beginners looking to streamline data extraction and analysis tasks.
Making a CV with R and RStudio: Professional and Semantic
Learn to create professional CVs using R and RStudio with the vitae package. Explore 6 templates and leverage markdown for customization in this efficient, programmer-friendly approach to resume building.
Creating Rolling Sum Grouped by ISO Weeks Using Python - No Pandas Required
Learn to implement weekly rolling sums using Python's standard library, exploring itertools' groupby, enumerate, and isocalendar. Enhance your data manipulation skills without relying on external libraries like pandas.
TaskWarrior Command Line Productivity Scoreboard - Build with Python
Build a CLI productivity scoreboard for TaskWarrior using Python's standard libraries. Learn data manipulation techniques without external dependencies like pandas or numpy.
My Life in a Python Package: A Human Programming Interface
Explore the Human Programming Interface (HPI), a Python package for personal data management and analysis, with insights from its creator.