ArcGIS Map Showcase: My Project Work from Introduction to GIS course
In this post I will lay out my project and assignment work from the course Intro to GIS at The George Washington University. I used ArcGIS software by ESRI t...
Posts by Tags
ArcGIS
Data Manipulation Tips
Quick Guide to Create Frequency Table from Wide Table Using R
library(dplyr) library(reshape2) library(ggplot2) This post presents a way to display the distribution of multiple variables (with the same comparable unit...
Data Quality
Global Terrorism Database (1970 - 2015) Preliminary Data Cleaning
Introduction In the coming three posts, I will show my explrative data analytics work on the Global Terrorism Database (GTD), a database maintained by the N...
Data-Camp
Object-Oriented Programming with R
1. Introduction to OOP in R Difference between functional programming and OOP? Functional Programming: functions first, then object OOP: data structure...
Data-Mining
Global Terrorism Database (1970 - 2015) Detailed Analytics
This post is the third of my three posts about the explorative data analysis project on Global Terrorism Database (GTD). All of the research questions were r...
Deep Learning
Creating a multi-layer perceptron to train on MNIST dataset
In this post I will share my work that I finished for the Machine Learning II (Deep Learning) course at GWU. The mini-project is written with Torch7, a packa...
EDA
Global Terrorism Database (1970 - 2015) Detailed Analytics
This post is the third of my three posts about the explorative data analysis project on Global Terrorism Database (GTD). All of the research questions were r...
Global Terrorism Database (1970 - 2015) Descriptive Data Visualization
This post is the second of my three posts on the explorative data analysis project on Global Terrorism Database (GTD). For more information regarding the det...
Exploratory Data Analytics on Capital Bikeshare Data 2015
Project Introduction In the last decade there has been increasing concern regarding the environment and the quality of life, especially in big cities. From ...
Lua
Creating a multi-layer perceptron to train on MNIST dataset
In this post I will share my work that I finished for the Machine Learning II (Deep Learning) course at GWU. The mini-project is written with Torch7, a packa...
Natural Language Processing
Applying Bag of Words and Word2Vec models on Reuters-21578 Dataset
Introduction In this post, I will showcase the steps I took to create a continuous vector space based on the corpora included in the famous Reuters-21578 da...
Neural Network
Creating a multi-layer perceptron to train on MNIST dataset
In this post I will share my work that I finished for the Machine Learning II (Deep Learning) course at GWU. The mini-project is written with Torch7, a packa...
OOP
Object-Oriented Programming with R
1. Introduction to OOP in R Difference between functional programming and OOP? Functional Programming: functions first, then object OOP: data structure...
Python
Applying Bag of Words and Word2Vec models on Reuters-21578 Dataset
Introduction In this post, I will showcase the steps I took to create a continuous vector space based on the corpora included in the famous Reuters-21578 da...
Introduction to Machine Learning with Python - Chapter 2 - Linear Models for Classification
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
Introduction to Machine Learning with Python - Chapter 2 - Linear Models for Continuous Target
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
Introduction to Machine Learning with Python - Chapter 2 - Datasets and kNN
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
Introduction to Machine Learning with Python - Chapter 1
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
R-programming
Quick Guide to Create Frequency Table from Wide Table Using R
library(dplyr) library(reshape2) library(ggplot2) This post presents a way to display the distribution of multiple variables (with the same comparable unit...
Global Terrorism Database (1970 - 2015) Detailed Analytics
This post is the third of my three posts about the explorative data analysis project on Global Terrorism Database (GTD). All of the research questions were r...
Global Terrorism Database (1970 - 2015) Descriptive Data Visualization
This post is the second of my three posts on the explorative data analysis project on Global Terrorism Database (GTD). For more information regarding the det...
Global Terrorism Database (1970 - 2015) Preliminary Data Cleaning
Introduction In the coming three posts, I will show my explrative data analytics work on the Global Terrorism Database (GTD), a database maintained by the N...
Object-Oriented Programming with R
1. Introduction to OOP in R Difference between functional programming and OOP? Functional Programming: functions first, then object OOP: data structure...
Exploratory Data Analytics on Capital Bikeshare Data 2015
Project Introduction In the last decade there has been increasing concern regarding the environment and the quality of life, especially in big cities. From ...
Torch7
Creating a multi-layer perceptron to train on MNIST dataset
In this post I will share my work that I finished for the Machine Learning II (Deep Learning) course at GWU. The mini-project is written with Torch7, a packa...
Word2Vec
Applying Bag of Words and Word2Vec models on Reuters-21578 Dataset
Introduction In this post, I will showcase the steps I took to create a continuous vector space based on the corpora included in the famous Reuters-21578 da...
api
How to Query Google Street View Static API with Python (UPDATED IN 2020)
The Google Street View Static API is Google’s straightforward HTTP-based API for developers to access its massive collection of street view pictures. Althoug...
artificial-intelligence
Kaggle TensorFlow Speech Recognition Challenge: Training Deep Neural Network for Voice Recognition
In this report, I will introduce my work for our Deep Learning final project. Our project is to finish the Kaggle Tensorflow Speech Recognition Challenge, wh...
blink-shell
cloud-computing
computer-vision
How to Query Google Street View Static API with Python (UPDATED IN 2020)
The Google Street View Static API is Google’s straightforward HTTP-based API for developers to access its massive collection of street view pictures. Althoug...
data-source
How to Query Google Street View Static API with Python (UPDATED IN 2020)
The Google Street View Static API is Google’s straightforward HTTP-based API for developers to access its massive collection of street view pictures. Althoug...
deep-learning
Kaggle TensorFlow Speech Recognition Challenge: Training Deep Neural Network for Voice Recognition
In this report, I will introduce my work for our Deep Learning final project. Our project is to finish the Kaggle Tensorflow Speech Recognition Challenge, wh...
devops
digital-ocean
gensim
Applying Bag of Words and Word2Vec models on Reuters-21578 Dataset
Introduction In this post, I will showcase the steps I took to create a continuous vector space based on the corpora included in the famous Reuters-21578 da...
geospatial
Exploratory Data Analytics on Capital Bikeshare Data 2015
Project Introduction In the last decade there has been increasing concern regarding the environment and the quality of life, especially in big cities. From ...
geospatial-analysis
ArcGIS Map Showcase: My Project Work from Introduction to GIS course
In this post I will lay out my project and assignment work from the course Intro to GIS at The George Washington University. I used ArcGIS software by ESRI t...
google-streetview
How to Query Google Street View Static API with Python (UPDATED IN 2020)
The Google Street View Static API is Google’s straightforward HTTP-based API for developers to access its massive collection of street view pictures. Althoug...
jupyter-hub
machine-learning
Introduction to Machine Learning with Python - Chapter 2 - Linear Models for Classification
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
Introduction to Machine Learning with Python - Chapter 2 - Linear Models for Continuous Target
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
Introduction to Machine Learning with Python - Chapter 2 - Datasets and kNN
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
Introduction to Machine Learning with Python - Chapter 1
Below is my study notes from learning the book Introduction to Machine Learning with Python. Refer to the author’s GitHub repo at https://github.com/amueller...
mosh
neural-network
Kaggle TensorFlow Speech Recognition Challenge: Training Deep Neural Network for Voice Recognition
In this report, I will introduce my work for our Deep Learning final project. Our project is to finish the Kaggle Tensorflow Speech Recognition Challenge, wh...
python-oop
How to Query Google Street View Static API with Python (UPDATED IN 2020)
The Google Street View Static API is Google’s straightforward HTTP-based API for developers to access its massive collection of street view pictures. Althoug...
pytorch
Kaggle TensorFlow Speech Recognition Challenge: Training Deep Neural Network for Voice Recognition
In this report, I will introduce my work for our Deep Learning final project. Our project is to finish the Kaggle Tensorflow Speech Recognition Challenge, wh...
voice-recognition
Kaggle TensorFlow Speech Recognition Challenge: Training Deep Neural Network for Voice Recognition
In this report, I will introduce my work for our Deep Learning final project. Our project is to finish the Kaggle Tensorflow Speech Recognition Challenge, wh...