Pinned Repositories
.trunk
Used by Trunk. Learn more at https://docs.trunk.io/code-quality/ci/get-started/github-integration
adhityaprimandhika
Config files for my GitHub profile.
angular-http-request
Angular HTTP Request from API
belajarcicd
ETL-AnterAja
Data Engineering course final project that consist of me, Hendra, Hakim, and Hafidz. We did ETL process from end to end for AnterAja review from Google Play and Twitter platform using several technologies such as PySpark, Pandas, AWS S3, and many more. From this ETL process we finding insight about do the increasing logistic activity have an impact on sentiment of reviews from Twitter and Google Play.
KNN-Iris
Artificial Intelegent course final project that consist of me, Denny and Hafidz. In this project, we make classification for type of iris using KNN algorithm from scratch
Predicting-Credit-Risk
This project is my final task for Virtual Internship on id/x partners as a Data Scientist. In this project, I built an end-to-end solution to predicting credit risk from the given dataset.
sentiment-analysis-api-docker
This project create an API that able to do sentiment analysis using pre-trained model , store data on MySQL, and run on Docker.
Sentiment-Analysis-Spiderman-No-Way-Home
Sentiment Analysis for the most anticipated Marvel movie in 2021, Spiderman No Way Home from Twitter platform.
Titanic-Dataset-Analysis-and-Prediction
This project analyze data from Titanic Dataset and predict the survivor of Titanic using machine learning. The dataset retrieved from https://www.kaggle.com/competitions/titanic/data.
adhityaprimandhika's Repositories
adhityaprimandhika/.trunk
Used by Trunk. Learn more at https://docs.trunk.io/code-quality/ci/get-started/github-integration
adhityaprimandhika/adhityaprimandhika
Config files for my GitHub profile.
adhityaprimandhika/angular-http-request
Angular HTTP Request from API
adhityaprimandhika/belajarcicd
adhityaprimandhika/coreai-api-services
adhityaprimandhika/ETL-AnterAja
Data Engineering course final project that consist of me, Hendra, Hakim, and Hafidz. We did ETL process from end to end for AnterAja review from Google Play and Twitter platform using several technologies such as PySpark, Pandas, AWS S3, and many more. From this ETL process we finding insight about do the increasing logistic activity have an impact on sentiment of reviews from Twitter and Google Play.
adhityaprimandhika/flask-mysql-docker
Practice to create project using Flask, MySQL, and Docker
adhityaprimandhika/Goodreads
This project predict the price of the books from Goodreads Dataset from https://www.kaggle.com/canggih/goodreads-choice-awards-20112020
adhityaprimandhika/KNN-Iris
Artificial Intelegent course final project that consist of me, Denny and Hafidz. In this project, we make classification for type of iris using KNN algorithm from scratch
adhityaprimandhika/Nannofossil-Classifier
Project to classify nannofossil type using Autoencoder and Extra Trees Classifier algorithm. The data that used in this project is characteristic of the nannofossil itself that already encoded to numerical before get used.
adhityaprimandhika/Predicting-Credit-Risk
This project is my final task for Virtual Internship on id/x partners as a Data Scientist. In this project, I built an end-to-end solution to predicting credit risk from the given dataset.
adhityaprimandhika/sentiment-analysis-api-docker
This project create an API that able to do sentiment analysis using pre-trained model , store data on MySQL, and run on Docker.
adhityaprimandhika/Sentiment-Analysis-Spiderman-No-Way-Home
Sentiment Analysis for the most anticipated Marvel movie in 2021, Spiderman No Way Home from Twitter platform.
adhityaprimandhika/Titanic-Dataset-Analysis-and-Prediction
This project analyze data from Titanic Dataset and predict the survivor of Titanic using machine learning. The dataset retrieved from https://www.kaggle.com/competitions/titanic/data.
adhityaprimandhika/crud-hibernate-spring-boot
Create Spring Boot project to do CRUD using Hibernate
adhityaprimandhika/Healthcare-Diabetes
This project analyze data from Healthcare Diabetes Dataset and predict the outcome of the diabetes whether it presence or absence based on the features. The dataset retrieved from https://www.kaggle.com/datasets/nanditapore/healthcare-diabetes.
adhityaprimandhika/intro-spring-boot
Introduction to Spring Boot
adhityaprimandhika/learn-nextjs-dashboard
adhityaprimandhika/learn-react-native
Introduction to React Native
adhityaprimandhika/learn-react-native-2
Slicing from design to React Native UI
adhityaprimandhika/learn-react-native-3
Learn to create React Native project from slicing design to code, routing navigation, and async & await
adhityaprimandhika/Nannofossil-Classification
adhityaprimandhika/OCRify
adhityaprimandhika/paw-kelompok-12
Tugas mata kuliah Pengembangan Aplikasi Web
adhityaprimandhika/python-docker-tutorial
adhityaprimandhika/react-native-http-request
Learn to do HTTP request in React Native
adhityaprimandhika/react-native-security
Learn authentication in React Native
adhityaprimandhika/Spotify-UI-with-React
adhityaprimandhika/Text-to-Speech
adhityaprimandhika/Wine-Quality-Classification
This project classify the quality of wine by using some features on the dataset. Beside that, in this project we will comparing some classification models to get the best model that have the best accuracy.