Trinh Phan's repositories
Deep-Learning-Face-Recognition
We created an application for checking attendance by using super resolution and face recognition
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
airbnb-data-collection
Data collection for Airbnb listings.
Coursera_Intro-to-Python
Assignments notebook of the course "Introduction to Python"
COVID-unemployment-crisis
We analyzed the US household data to understand the impact of COVID pandemic on the unemployment market. This project won the 1st place in SAS Student Symposium 2021.
Customer-Life-Time-Value
Customer Life Time Value Analysis and Retention Strategy
Dataquest-Projects
Portfolio of projects completed as part of Dataquest Data Analyst program
DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
Sentiment-Analysis-on-P-G-product-s-customer-reivews
This project aims to apply opinion mining on data collected on P&G’s reviews to identify main features and determine their relationship with customer satisfaction or dissatisfaction. Analysis of the textual data using text parsing, text topic, text cluster for identifying features and classification of sentimental reviews using predictive models (Text Rule Builder, Logistic Regression, Decision Tree, Neural Network) are deployed within SAS Text Miner 14.3. SAS Sentiment Analysis Studio is used to identify positive and negative reviews from all comments.
Web-Scraping-and-Sentiment-Analysis
Predict the hotel rate and sentiment analysis The purpose of this project is to uncover the primary hotel guest expectations and the overall feelings guests have towards their hotel stay experience during the COVID-19 Pandemic. In addition, we also fit a linear regression model to predict the hotel price as well as find the factors leading to the that price. By understanding this, hotel companies can refine their current processes and standards. Therefore, hotels will additionally improve their reviews and overall ratings and increase occupancy
practical-statistics-for-data-scientists
Code repository for O'Reilly book
solutions
Solutions for projects.