Name: Muhammad Ridho Anshory
Type: User
Company: Frontend Software Engineer, Itsavirus
Twitter: addhoryy
Location: East Kalimantan, Indonesia
Blog: muhridhoanshory.com
Muhammad Ridho Anshory's Projects
30 Days of React Content and Source Code
An algorithms repository created for contribution to HacktoberFest 2019. Submit a pull request to any of the problems in your preferred programming language.
website untuk template html css yang bisa dipakai untuk seluruh programmer di indonesia, terkhusus di makassar. ayo berkontribusi !!
Animate on scroll library
Azure Computer Vision
👩💻👨💻 Improve your README.md profile with these amazing badges.
Audiobook project for Programming Algorithm III
Data Science Toolbox with R Submission
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
The Leek group guide to data sharing
berisi project draw io
A collection of courses, scraped from the website Educative (educative.io). Feel free to use!
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. You will be graded by your peers on a series of yes/no questions related to the project. You will be required to submit: 1) a tidy data set as described below, 2) a link to a Github repository with your script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md in the repo with your scripts. This repo explains how all of the scripts work and how they are connected. One of the most exciting areas in all of data science right now is wearable computing - see for example this article . Companies like Fitbit, Nike, and Jawbone Up are racing to develop the most advanced algorithms to attract new users. The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones Here are the data for the project: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip You should create one R script called run_analysis.R that does the following. Merges the training and the test sets to create one data set. Extracts only the measurements on the mean and standard deviation for each measurement. Uses descriptive activity names to name the activities in the data set Appropriately labels the data set with descriptive variable names. From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject. Good luck!
Github First Repository
Make your first Pull Request on Hacktoberfest 2023. Don't forget to spread love and if you like give us a ⭐️
Google IT Automation with Python Professional Certificate - Practice files
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent