Thomas Nield

oreilly_getting_started_with_sql. Database files for the O'Reilly book "Getting Started with SQL: A hands on approach for beginners" http://goo.gl/z3zG54

oreilly_machine_learning_from_scratch. Resources for the O'Reilly Online Training "Machine Learning from Scratch"

machine-learning-demo-data.

oreilly_math_fundamentals_data_science. Python

oreilly_sql_fundamentals_for_data. Resources for O'Reilly "SQL Fundamentals for Data" online training

oreilly_intermediate_sql_for_data. Resources for the O'Reilly Online Training "Intermediate SQL For Data Analysis"

RxKotlinFX. Kotlin extensions to the RxJavaFX framework

oreilly_reactive_python_for_data. Resources for the O'Reilly online video "Reactive Python for Data"

oreilly_intro_to_mathematical_optimization. O'Reilly online training "Intro to Mathematical Optimization"

kotlin_math_cheatsheet. A cheatsheet for translation math expressions to Kotlin

oreilly_essential_math_for_data_science_book. Book code for "Essential Math for Data Science"

rxkotlinfx-tornadofx-demo. A demo application demonstrating TornadoFX and Rx usage

traveling_salesman_demo. A Kotlin implementation of the TSP problem, with TornadoFX Visualization

kotlin-sudoku-solver. A suduko game solver written in Kotlin

kotlin-machine-learning-demos. Demonstration of several machine learning algorithms in Kotlin

kotlin_simple_neural_network. A simple neural network application built in Kotlin

oreilly_deep_learning_beginners. Python

oreilly_programming_with_sql. Java

classroom-scheduling-demo. A branch-and-bound solver to create classroom schedules

DirtyFX. Dirty state-tracking properties and collections for JavaFX

3mds. Source code for 3-Minute Data Science Videos

rxkotlin-jdbc. Fluent RxJava JDBC extension functions for Kotlin

bayes_user_input_prediction. Demonstration of using Naive Bayes to predict user inputs with Kotlin 1.2 std-lib

oreilly-demystifying-generative-ai. Python

rxkotlin-poc. Experimental Rx implementation in Kotlin

kotlinconf-datascience-talk. Slides, notes, and code for KotlinConf talk on Data Science

oreilly-probability-from-scratch. Python

kotlin-spark-test. Simple demonstration using Kotlin with Spark

anaconda_intro_to_machine_learning. Jupyter Notebook

kotlinconf-2018-mathematical-modeling. Rescoures for "Mathematical Modeling with Kotlin" talk at KotlinConf 2018

oreilly_kotlin_for_data_science. Notes, slides, and contents for the O'Reilly videos using Kotlin for Data Science

thomasnield_odsc2023. Python

oreilly_vibing_with_statistics. Jupyter Notebook

idea_eclipse_dark_theme. An Intellij IDEA port of the amazing Eclipse Dark theme

customer-wait-queue-simulation. Using poisson distribution to optimize/simulate staffing count decisions to minimize wait times

sql-injection-demo. A simple username/password login application to demonstrate SQL injection

traveling_salesman_plotter. A Traveling Salesman Problem plotter built in Kotlin/TornadoFX

anaconda_data_cleaning_pandas. Jupyter Notebook

kotlin-collection-extras. Useful extensions for kotlin collections

rxkotlin-extras. Kotlin Extensions to the rxjava-extras library

3mds-lib. Library for supporting my Manim animations and 3MDS

bayes_email_spam. Experimenting with Bayes and Email Spam Categorization

data_science_from_scratch_rx. RxPy versions of code from the O'Reilly book "Data Science from Scratch"

ojalgo_abstract_examples. Kotlin

ChicagoKUG_Many_Types_of_AI. https://www.meetup.com/Chicago-Kotlin/events/260487964/

anaconda_statistics_hypothesis_testing. Jupyter Notebook

anaconda_intro_to_numpy. Jupyter Notebook

data2viz. An Android, JavaFx, JS multiplatform datavisualization library with comprehensive DSL

anaconda_calculus_fundamentals. Jupyter Notebook

anaconda_linear_algebra. Jupyter Notebook