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/Aivivn_1
Our submission for Aivivn Contest 1.
vbinh002/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
vbinh002/Bank-marketing
vbinh002/Basic-Deep-Neural-Networks-Applied-on-MNIST-Handwritten-Digit-Dataset
vbinh002/Boston-housing-
vbinh002/Computer-vision
vbinh002/Credit-card-fraud-detection
vbinh002/Data-Science-repos
vbinh002/Data-Visualization
Visualisation with WHO dataset
vbinh002/dataviz
A book covering the fundamentals of data visualization.
vbinh002/dataviz-1
Support files for "Data Visualization: A Practical Introduction"
vbinh002/deepAI
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
vbinh002/deeplearning-models
A collection of various deep learning architectures, models, and tips
vbinh002/Digit-recognition
Recognise digit from image
vbinh002/dlib
A toolkit for making real world machine learning and data analysis applications in C++
vbinh002/docs
TensorFlow documentation
vbinh002/Linear-regression-with-Alteryx
vbinh002/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
vbinh002/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
vbinh002/ML-bank-marketing-project
vbinh002/MWG-Price-prediction
Predict the stock price of MWG
vbinh002/PaySim
Financial Simulator of Mobile Money Service
vbinh002/Python-samples
vbinh002/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
vbinh002/R-datasets
Dataset for Rstudio and Jupyter Notebook
vbinh002/time-series-forecasting-keras
time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
vbinh002/time_series_classification_and_ensembles
some examples for time series classification using keras: #1D_CNN #LSTM #Dense #Ensembles
vbinh002/Visual-analytics
vbinh002/Yolo-v2-pytorch
YOLO for object detection tasks
vbinh002/ztdl-5-day-bootcamp
Zero to Deep Learning Bootcamp