xichaow Goto Github PK

angular-triplet-loss

ATL(Angular Triplet Loss):A new loss function based on sphereface & triplet loss

autotrader-api

REST API which pulls all vehicles (used, new and certified) for sale with full details from AutoTrader.com

aws_rds_r

test to connect r with postsql db set up in AWS RDS

bank-marketing-data-analysis

Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data

beautifulsoup

Git Clone of Beautiful Soup (https://code.launchpad.net/~leonardr/beautifulsoup/bs4)

bs4dash

Bootstrap 4 shinydashboard using AdminLTE3

cnn-anomaly-detection-keras

Convolution network to detect anomalies on images

complete-node-bootcamp

Starter files, final projects and FAQ for my Complete Node.js Bootcamp

coursera-getdata-project

Course Project for Coursera Data Science Getting And Cleaning Data class.

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-hub-client-example

This is a demonstration of how to retrieve data from Brightspace via the Data Hub APIs.

datasciencectacontent

repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

datascienceportfolio

Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges

datasharing

The Leek group guide to data sharing

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

direct-marketing-campaign

This is a Direct Mrktg Campaign for a European Bank

django-tutorial

Django 2.0 Official Tutorial

email_automation_py

Just find an interesting scripts online here. Thinking to have a test: https://stackoverflow.com/questions/6332577/send-outlook-email-via-python

employee-attrition-with-r

Use HR data from IBM to predict high-value employees at risk of leaving and to identify reasons behind employee dissatisfaction. Libraries used - ggplot2(EDA, visualization), klar, caret, e1071 (pre-processing, feature selection, modeling)

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

facenet

Face recognition using Tensorflow

getdata

Coursework for Getting and Cleaning Data Coursera Course

getting-and-cleaning-data-course-project

gettingcleaningdata

Getting and Cleaning Data Assignment

hranalytics

Predicting Employee Satisfaction & Attrition using Random Forest

httr

httr: a friendly http package for R

image-to-text

Images of Text to Text: Call Tesseract from Python and OCR a directory of pdfs

in_track

jr-full-stack-projects

A list of projects for Web Full Stack Training https://jiangren.com.au/program-course/web-code-bootcamp-or-learn-to-code-1

keras

Deep Learning for humans