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〽️ I am a Data Analytics, from East Java, Indonesia.
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📫How to reach me:
Kaggle
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🛠️ Languages and Tools :
tetaniarizki Goto Github PK
Name: Rizki Tetania
Type: User
Bio: Data Enthusiast | [email protected]
Location: Indonesia
Name: Rizki Tetania
Type: User
Bio: Data Enthusiast | [email protected]
Location: Indonesia
〽️ I am a Data Analytics, from East Java, Indonesia.
📫How to reach me: Kaggle
🛠️ Languages and Tools :
Credit risk analysis: based on the number of family dependents and the duration of the month's loan, classify the credit rating or risk rating using the decision tree method (C50 with R).
Customer segmentation from shop customer data.
Preprocessing data .txt with R
This repository is a collection of case studies on predictive, computer vision and recommendation systems. This code, I collect from course Dicoding Indonesia.
This repository is about prediction of disease Liver patient
Berikut merupakan analisis klasifikasi dataset Iris menggunakan metode Decision Tree, SVM dan Logistic Regression.
This repository is an analysis of the classification of sentiment reviews from users of the marketplace application, where the word weighting methods used are TFIDF and Word2Vec. Meanwhile, the classification method used is Support Vector Machine (SVM). There are two kernels used in this analysis, namely the kernel Linear and the kernel Radial Basis Function (RBF).
This repository contains my project of SQL in DQLAB Id
by power BI
classification of rock, papers and scissors.
Regression Analysis: To determine the effect of candy and cereal consumption on the increasing number of dental visits (with R).
The following is a simple statistical analysis using a customer satisfaction level dataset. The data was obtained from the DQLab learning page assessment.
Implementation of recommendation system
This is sub bab of Course Convolutionan Neural Network (CNN) with Tensorflow. And in this code, I use a technique called `Transfer Learning` in which utilize an already trained network to help solve a similar problem to the one it was originally trained to solve.
The objective of this task is to detect hate speech in tweets. Tweet contains negative/hate sentiments as well as positive sentiments. So, the task is to classify negative tweets from other tweets. Given a training sample of tweets and labels, where label '1' denotes the tweet is negative and label '0' denotes the tweet is not negative. The objective is to predict the labels on the test dataset.
MYSQL
This repository contains my project visualization in Tableau.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.