Pinned Repositories
100days
100 days of algorithms
Aivivn_1
Our submission for Aivivn Contest 1.
allstate_capstone
Allstate Kaggle Competition ML Capstone Project
Alteryx-Data-And-Files
Contains Alteryx workflow and data file examples.
Amazon-Product-Recommender-System
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Bank-marketing
Basic-Deep-Neural-Networks-Applied-on-MNIST-Handwritten-Digit-Dataset
BerkeleyX-CS110x-Big-Data-Analysis-with-Apache-Spark
Coursework Notebooks for BerkeleyX: CS110x Big Data Analysis with Apache Spark
Boston-housing-
vbinh002's Repositories
vbinh002/Keras
DeepLearning Models using Keras framework
vbinh002/Hopfield_network
Hopfield Network implemented with Python
vbinh002/TextBoxes
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
vbinh002/learning-spark
Example code from Learning Spark book
vbinh002/pydata_nyc2018-intro-to-model-interpretability
Notebook and slides for my talk at Pydata NYC 2018
vbinh002/Imputing-missing-data-with-R-MICE-package
Imputing missing values
vbinh002/machine-learning-with-python-cookbook-notes
My jupyter notebooks/code samples from Chris Albon's Machine Learning with Python Cookbook
vbinh002/Alteryx-Data-And-Files
Contains Alteryx workflow and data file examples.
vbinh002/katbot99.github.io
vbinh002/nhse-dataset
The result of Vietnam's high school graduation exam 2018
vbinh002/hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
vbinh002/VnCoreNLP
A Vietnamese natural language processing toolkit
vbinh002/som-anomaly-detector
Implementation of Kohonen SOM for anomaly detection purposes.
vbinh002/dlnotebooks
INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks
vbinh002/TFIDF
Implementation of TF-IDF from scratch in Python
vbinh002/100days
100 days of algorithms
vbinh002/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
vbinh002/kohonen-maps
Implementation of SOM and GSOM
vbinh002/Amazon-Product-Recommender-System
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
vbinh002/credit-risk-modelling
Credit Risk analysis by using Python and ML
vbinh002/digit-recognition-1
Handwritten Digit Recognition using OpenCV, sklearn and Python
vbinh002/fraud-detection-self-organizing-maps
Unsupervised Deep Learning with Self-Organized Maps (SOM) detecting fraud in credit card applications
vbinh002/SpamF
A basic Spam-filter built using Apache Spark.
vbinh002/Face-Detection-OpenCV
Face detection using OpenCV and Python
vbinh002/lectures
Oxford Deep NLP 2017 course
vbinh002/kaggle-credit-card-fraud
Practice project with kaggle data for credit card fraud w/ tensorflow
vbinh002/BerkeleyX-CS110x-Big-Data-Analysis-with-Apache-Spark
Coursework Notebooks for BerkeleyX: CS110x Big Data Analysis with Apache Spark
vbinh002/Kaggle-Competition-Santander
vbinh002/allstate_capstone
Allstate Kaggle Competition ML Capstone Project
vbinh002/Stanford-Machine-Learning-Course
machine learning course programming exercise