jiangzl2016/yelp-rating-prediction

A series of tutorials on different approaches of building a recommender system. The dataset is 2019 Yelp Challenge.

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jiangzl2016/prob_prog_final_project

Clustering Based Image Segmentation using Edward and PyMC3

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jiangzl2016/customer_segmentation_cross_selling

This repo contains code for solving customer segmentation problem and cross-sell problem on ecommerce data.

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jiangzl2016/AB_testing_project

The repo contains projects on classical and Bayesian AB testing.

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jiangzl2016/SUSA-Facial-Emotion-Recognition

Facial emotional recognition project based on human face image dataset. Use of CNN, DNN , transfer learning and ensemble model to achieve good performance model. Collaborator: Samyak P., Noah G., Luke D., Ajay, R., Jeffery, Z.

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jiangzl2016/music_emotion_recognition

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jiangzl2016/event_recommender_engine

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jiangzl2016/deploying-machine-learning-models Fork of trainindata/deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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jiangzl2016/statistical-testing-examples

The repo contains different types of statistical tests coded in Python and accompanied with some examples.

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jiangzl2016/wastemanagement

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jiangzl2016/movie-recommendations Fork of yjs1210/movie-recommendations

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jiangzl2016/repo0

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jiangzl2016/jiangzl2016.github.io

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jiangzl2016/applieddl-hw4.github.io

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jiangzl2016/stanford-cs-230-deep-learning Fork of afshinea/stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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jiangzl2016/Electronic_Ratings_Visualization Fork of EDA-Final-Project-Group/Electronic_Ratings_Visualization

Exploration and Visualization for Electronic Products

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jiangzl2016/Spark-Movie-Recommendation

A movie recommendation project that uses popular recommendation algorithm ALS. The project trains ALS both in its primitive form and through pySpark MLlib. Please see "notebook" folder for modelling details

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jiangzl2016/stat159-final-project

This project is about applying R and following the rule of scientific reproducibility to perform a complete modeling process on College Scorecard dataset (by U.S Department of Education) at https://collegescorecard.ed.gov/data/

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jiangzl2016/Database-Design-Project

Database design project for Student Store, the content includes: EER Diagram, Data Schema, Generated Data, Sample Queries and Normalisation. All data used are generated artificially. Collaborators: Mimi, L., Nicky, L., Ethan, K. Emma, H., Annie, S., Jinglin Z., Derek S., Lucie K., YunHee, K.

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jiangzl2016/facialemotionrecognition2k17 Fork of SUSA-org/facialemotionrecognition2k17

Code used to predict emotions from the corresponding Kaggle Competition.

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jiangzl2016/Time_Series_Analysis

Time series modelling project on Google Trend Dataset. The model used includes ARIMA and Exponential smoothing.

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jiangzl2016/DSEP_research

University courses relationship mapping. Generate graphical relationships across different clusters of courses. Use of text analysis, hierarchal clustering.

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jiangzl2016/TensorFlow-Examples Fork of aymericdamien/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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jiangzl2016/spark Fork of apache/spark

Mirror of Apache Spark

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jiangzl2016/face_recognition Fork of ageitgey/face_recognition

The world's simplest facial recognition api for Python and the command line

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jiangzl2016/king-county-housing

The project provides (1) a descriptive analysis of housing sales prices in different locations of King County, WA. (2) a lasso linear model that predicts housing prices with most variables given

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jiangzl2016/Credit-data-modeling

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jiangzl2016/stat159-lab3

Zhongling Jiang

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jiangzl2016/stat159-fall2016-project1

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