Kevin Christian ZANOU's Projects
A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.
10 Weeks, 20 Lessons, Data Science for All!
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
spark plugin for dbt
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Docker image for single HDFS node
The open-source repo for docs.github.com
Documentation for rtools40 and R for Windows
Official Code for DragGAN (SIGGRAPH 2023)
š¦Data Version Control | Git for Data & Models | ML Experiments Management
Efficient R programming: a book
Some Basic function will be write and documentation
:exclamation:Ā ThisĀ isĀ aĀ read-onlyĀ mirrorĀ ofĀ theĀ CRANĀ RĀ packageĀ repository. ggpmiscĀ āĀ MiscellaneousĀ ExtensionsĀ toĀ 'ggplot2'.Ā Homepage:Ā https://docs.r4photobiology.info/ggpmisc/,Ā https://github.com/aphalo/ggpmisc ReportĀ bugsĀ forĀ thisĀ package:Ā https://github.com/aphalo/ggpmisc/issues
Asynchronous http server graphics device for R.
Example Notebooks for HyRiver software stack
š„State-of-the-art NLP on iOS, written in Swift
R Interface to Keras
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.
Launching a career including remote work
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lƶsungen, linkedin machine learning test
List Formatting Samples for use in SharePoint and Microsoft Lists
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
A scikit-learn-compatible module for estimating prediction intervals.
Mercury: easily convert Python notebook to web app and share with others
Bayesian model selection in logistic regression for the detection of adverse drug reactions