hakhuong Goto Github PK

build-customer-data-pipeline-in-sqlite-with-python

Object Oriented Programing. Create data Pipeline with Python, import data to SQLite, then conduct analytical tasks with SQL on SQLite database

cereal-sales-analysis

Data Visualization Class

datasets

A public repo of datasets

digital-education-market-segmentation

Using clustering techniques to identify new market for Oppia Foundation's digital outreach based on education quality and internet access

disaster-response-text-classification

Classify texts messages sent during disasters to identify needs (food, aid, water, etc.). Build a web app where an emergency worker can input a new message and get classification results in several categories.

docker-cheat-sheet

Docker Cheat Sheet

extract-text-information-from-tax-return-in-image-form

Used Optical Character Recognition with Python to convert 750 tax returns in image form into text. Process files in batch, extract needed information into an Excel file.

google-analytics-goal-completions

This project examined 5 different goal conversion metrics and used these metrics to assess the performance of different aspects of user acquisition, such as mediums, Google Ads campaigns, and Ads keywords. I also expanded the question to which region is potential for growth based on goal conversion metrics

ha.khuong.94-gmail.com

Big Mart Sales Analysis and Prediction

hotel-cancellation-prediction

Booking cancellation is a threat to hotel's revenue. In this project, I predicted cancellation rate for any day at a NYC hotel of international scale with various ML models. Improved 80% accuracy from a benchmark model..

imdb-ratings-prediction

Data from 5000 movies on IMDB

mortgage-analysis

This projects analyzed the impact of race on Mortgage acceptance rate in Boston using logit and probit regression.

office-sales-analysis

Data Visualization class project

predict-lesson-completion-oppia-

Use Google Analytics data and previously segmentation data, I predict when users finish a lesson.

seattle-airbnb

This project looks at Airbnb Listing and Review data in Seattle to find meaningful insights that might help new hosts to start their business on Airbnb This analysis seeks the answer for 3 questions: What features relate to higher ratings? How to be a superhost? Where my resources should go in different months of a year?

sqlzoo-answers

My answers for SQLzoo tutorials questions

test

titanic-death-prediction-with-sparkml

This project uses MLib library, Spark SQL, and Spark Dataframe to predict death rate with the classic Titanic data set