Pinned Repositories
anhcodes
New blog
beaker
Execute query benchmarks against Databricks SQL warehouses and clusters.
clean-code-python
:bathtub: Clean Code concepts adapted for Python
dbsql-tools
Tools for Databricks DBSQL management
debezium-aks
Deploy debezium, kafka on aks with strimzi
flower_classifier
[Deep Learning] Building an image classifier application using Pytorch - a project from Data Scientist NanoDegree
metimur
Accelerate benchmarking with Databricks Serverless SQL
pythonDSA
repo for data structure and algorithms implementation in python
Seattle-Airbnb
Exploratory Data Analysis, Price Prediction and Sentiment Analysis on Seattle Airbnb Dataset using Tableau and Python
stock_portfolio_tracker
Pet project to track stock portfolio built with React, MongoDB, Expressjs, Node, TypeScript and Redux
anhhchu's Repositories
anhhchu/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
anhhchu/Deep-Learning-in-Python
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
anhhchu/devtraining-needit-madrid
This repository is used by the developer site training content, Madrid release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, Flow Designer, REST Integrations, Reporting and Analytics, Domain Separation, Mobile Applications, and Context-sensitive Help courses.
anhhchu/Disaster-Response
Classify messages and news into categories related to disasters through ETL, ML Pipeline in Python and deployed via webapp
anhhchu/DSND_Term1
Contains files related to content and project of DSND
anhhchu/ETL-pipeline-Worldbank-Dataset
Created an ETL pipeline to collect and clean Worldbank dataset for prediction
anhhchu/frontend-nanodegree-resume
anhhchu/Identify-Customer-Segment
Identify Customer Segment for a Mail Order company using Kmeans Clustering analysis
anhhchu/Intro-to-Deep-Learning-Transfer-Learning-Image-Classifier
Introduction to Deep Learning and Transfer Learning using MNIST and Fashion MNIST dataset
anhhchu/PortfolioExerciseStarbucks
The data for this exercise consists of about 120,000 data points split in a 2:1 ratio among training and test files. In the experiment simulated by the data, an advertising promotion was tested to see if it would bring more customers to purchase a specific product priced at $10. Since it costs the company 0.15 to send out each promotion, it would be best to limit that promotion only to those that are most receptive to the promotion. Each data point includes one column indicating whether or not an individual was sent a promotion for the product, and one column indicating whether or not that individual eventually purchased that product. Each individual also has seven additional features associated with them, which are provided abstractly as V1-V7.
anhhchu/Project-1-Statistics-Refresh-Troop-effect
Utilize t-test one tail to infer the different between the time people read the list of congruent words vs. list of incongruent words
anhhchu/Project-2-Regression-with-Python-to-Analyze-Subway-data
Using SKLearn, Panda, Numpy and ggplot in Python to analyze the effect of weather on subway ridership
anhhchu/Project-3-Data-wrangling-with-MongoDB
anhhchu/Project-4-Exploratory-data-analysis-with-R
Explored dataset of over 114,000 observations about Prosper Loan using R programming language
anhhchu/Project-5-Identify-fraud-in-Enron-dataset
Classified person-of-interest from 144 employees in Enron dataset using SKLearn in Python
anhhchu/Project-6-Data-visualization-with-D3
Tell story of solarcity with D3 visualization
anhhchu/Project-7-Design-an-AB-testing
Design and AB testing to test a new features on Udacity website
anhhchu/Recommendations_with_IBM
Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to users about new articles they might like
anhhchu/Sparkify
Predicting churn of a music hosting service with 247.6 MB dataset using Python and Spark
anhhchu/Supervised-Learning-Income-Classification
Use Python scikitlearn to construct a supervised learning model to predict individual Income based on Census data
anhhchu/ud120-projects
Starter project code for students taking Udacity ud120
anhhchu/covid19twitter
covid19 twitter sentiment project for bigdataarch-cisc-525
anhhchu/DataMining
DataMining Tools and Techniques
anhhchu/hyde
A brazen two-column theme for Jekyll.
anhhchu/Rails-blog
Rails First App
anhhchu/SciComp
Repo for Scientific Computing Class