Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
ai-seed
1000+ ready code templates to kickstart your next AI experiment
Aplikasi-Monitoring-Fasilitas-Bandara-Soekarno-Hatta
Aplikasi Monitoring Fasilitas dikembangkan dengan konsep real time database menggunakan Google Firebase, sehingga data akan tersinkronisasi secara lebih cepat secara online. Fungsi utama dari aplikasi ini adalah mempermudah proses monitoring fasilitas di lingkungan Bandara Internasional Soekarno-Hatta.
Cat-Dog-Dataset
Contain cat and dog datasets for image classification
data-science-learning-path
Data Science Learning Path - A complete guide to learn data science for beginners
developer-roadmap
Roadmap to becoming a web developer in 2020
keras-flask-deploy-webapp
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
NLP_Stacking_Ensemble
This repo is part of code implementation for "SENN: Stock Ensemble-based Neural Network"
Object-Classification-using-CNN-Pretained-Model
This is my deep learning project called Cat Breeds Detector Application using Pre-Trained Model CNN (Xception and DenseNet-201). I got the dataset of cats from Kaggle, you can click here if you wanted to. Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm that can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image, and be able to differentiate one from the other. While the pre-trained model is a saved network that was previously trained on a large dataset, typically on a large-scale image-classification task. You either use the pre-trained model as is or use transfer learning to customize this model to a given task.
Simple-PWA
Aplikasi ini merupakan aplikasi PWA (Progressive Web App) yang dibuat untuk Tugas Praktikum Pemrograman Perangkat Bergerak. Aplikasi ini berfungsi untuk menampilkan keadaan cuaca di beberapa kota di berbagai negara. Aplikasi ini dibuat menggunakan javascript, HTML+CSS serta API data cuaca dari [Dark Sky](https://darksky.net/dev).
riojuliian's Repositories
riojuliian/Aplikasi-Monitoring-Fasilitas-Bandara-Soekarno-Hatta
Aplikasi Monitoring Fasilitas dikembangkan dengan konsep real time database menggunakan Google Firebase, sehingga data akan tersinkronisasi secara lebih cepat secara online. Fungsi utama dari aplikasi ini adalah mempermudah proses monitoring fasilitas di lingkungan Bandara Internasional Soekarno-Hatta.
riojuliian/10-steps-to-become-a-data-scientist
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
riojuliian/developer-roadmap
Roadmap to becoming a web developer in 2020
riojuliian/keras-flask-deploy-webapp
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
riojuliian/Object-Classification-using-CNN-Pretained-Model
This is my deep learning project called Cat Breeds Detector Application using Pre-Trained Model CNN (Xception and DenseNet-201). I got the dataset of cats from Kaggle, you can click here if you wanted to. Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm that can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image, and be able to differentiate one from the other. While the pre-trained model is a saved network that was previously trained on a large dataset, typically on a large-scale image-classification task. You either use the pre-trained model as is or use transfer learning to customize this model to a given task.
riojuliian/ai-seed
1000+ ready code templates to kickstart your next AI experiment
riojuliian/Cat-Dog-Dataset
Contain cat and dog datasets for image classification
riojuliian/data-science-learning-path
Data Science Learning Path - A complete guide to learn data science for beginners
riojuliian/NLP_Stacking_Ensemble
This repo is part of code implementation for "SENN: Stock Ensemble-based Neural Network"
riojuliian/Simple-PWA
Aplikasi ini merupakan aplikasi PWA (Progressive Web App) yang dibuat untuk Tugas Praktikum Pemrograman Perangkat Bergerak. Aplikasi ini berfungsi untuk menampilkan keadaan cuaca di beberapa kota di berbagai negara. Aplikasi ini dibuat menggunakan javascript, HTML+CSS serta API data cuaca dari [Dark Sky](https://darksky.net/dev).
riojuliian/Java-Server-Faces
Project ini adalah bagian dari tugas praktikum rekayasa software berbasis komponen. Project ini dibuat menggunakan NetBeans, MySQL, dan Tomcat Server. Adapun untuk bahasa pemrograman yang digunakan yaitu, Java, HTML dan CSS
riojuliian/lectures
Oxford Deep NLP 2017 course
riojuliian/ODSC-missing-data-may-18
Open Data Science Conference East, 2018: Data Science with Missing Data
riojuliian/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
riojuliian/riojuliian.github.io
Rio Julian portfolio's website
riojuliian/RSBK_TUGASMOD1_KEL26
riojuliian/Telco-Customer-Churn-Analysis
riojuliian/TugasModul2
TugasModul2 Praktikum RSBK