riojuliian Goto Github PK

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

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

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.

lectures

Oxford Deep NLP 2017 course

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.

odsc-missing-data-may-18

Open Data Science Conference East, 2018: Data Science with Missing Data

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

riojuliian.github.io

Rio Julian portfolio's website

rsbk_tugasmod1_kel26

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).

telco-customer-churn-analysis

tugasmodul2

TugasModul2 Praktikum RSBK