tule2236 Goto Github PK

airbnb-dynamic-pricing-optimization

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

analyzing-a-graph-with-hadoop-java

Designing a MapReduce algorithm

analyzing-a-large-graph-with-spark-scala

[CX 4242_Data Analytics_homework]

demandforecasting-sagemaker

[Kaggle] Bike Sharing Demand Forecasting using XGBoost. Training and Deploying on SageMaker

dynamic-dispatch-and-route-optimization-application

(Internship Project) Use Unsupervised Learning, Randomized Optimization, Task Assignment algorithms with UI to visualize the dispatch jobs on Singapore maps

flight_delay_prediction

fractional-factorial-multivariate_testing

[Quality Control final project] Multivariate Testing with self-collected data

geofence_vehicle-tracking-system

(Internship project) Design SQL database and construct website with Django. Act as a Middleware that is currently used in production.

intelligent-personnel-management

[VIP Research project] An Intelligent Personnel Management app that visualize and analyze personnel information to aid the promotion and award process, making human management process transparent

item-based-cf-with-pyspark

[Kaggle] Big data analysis with PySpark: compute movie similarities, find popular movies, and make movie recommendation with ALS

movie-recommendation-with-deep-learning

Find Movie Embedding from Content and Collaborative Data. Use Auto Encoder

movie_recommendation_sagemaker

Build user-based Collaborative Filtering algorithms from scratch. Training and deploying Tensorflow models to AWS SageMaker. Use K-Means to cluster similar users. Deploy recommendation on Serverless application.

news-scraping-with-scrapy

Scraping financial news of 22 big public companies from 2011 to 2017. the result of this project will support my other big project "Sentiment Analysis on Financial News" using Machine Learning and Natural Language Processing

nlp-and-stock-prediction

Use NLP and ML for Sentiment analysis to improve Stock Prediction models. Crawl data, generate training labels, integrate 3 data sources, and experiment with many combinations of labels and algorithms.

quadraticregression

Experiment with Linear, Quadratic, XGBoost regression. Tuning Underfit and Overfit regression models, and visualize EAD.

superheros-social-graph

[Kaggle]Using PySpark to find the most popular superhero and calculate degree of separation with BFS

supervisedml_on_bank_marketing

Experiment to observe behaviors of algorithms due to training changes such as sample size, imbalance level,...

twitter-and-clickstream-analysis-with-sparkstreaming

Analyze streaming tweets and clickstream data in real-time with Spark Streaming, Spark SQL, and Spark MLLib.

university_tuition_prediction

[Regression Course_ISyE 4031] Does your university tuition worth it? Describe a process to fit a good Multivariate Regression model, using Box Cox transformation, handle Multicollinearity, and common Regression pitfalls

unsupervisedml_customer_segmentation

Customer Segmentation on Sales data using KMeans, PCA, ICA

voice-recognition-sagemaker

[Internship] POC of how to build and deploy CNN model on MXNet to classify words recorded in audio files on AWS Sagemaker.