tjmask Goto Github PK

airbnb-project

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

big-data-project

This is a big data project about exploring customers' loyalty. It's implemented in MySQL and Python

cosi-120a-mapreduce-data-mining

cu-copper---eda-chinese-future-market-

This is about the eda of Cu in Chinese Future Market

data-mining-cosi-126a

This is all the projects and assignments I did in Data Mining COSI 126A

healthcare-analytic-project

This is about the healthcare analytics projects

learningpyspark

Code base for the Learning PySpark book (in preparation)

machine-learning

pyspark

This is about application of PySpark in Python

pyspark-eda-outbrain-click-prediction

The internet is a stimulating treasure trove of possibility. Every day we stumble on news stories relevant to our communities or experience the serendipity of finding an article covering our next travel destination. Outbrain, the web’s leading content discovery platform, delivers these moments while we surf our favorite sites. Outbrain click prediction competition Currently, Outbrain pairs relevant content with curious readers in about 250 billion personalized recommendations every month across many thousands of sites. In this competition, Kagglers are challenged to predict which pieces of content its global base of users are likely to click on. Improving Outbrain’s recommendation algorithm will mean more users uncover stories that satisfy their individual tastes.

python2-final-project

recommender-system

Anime recommender system using collaborative filtering and latent factor model

space-health-predicting

spark

Apache Spark - A unified analytics engine for large-scale data processing

tjmask.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

urban-sound-classification

This is a classification problem and is meant to let me have hands on exposure to audio processing in the usual classification scenario. Compared to other bodily features, voice is dynamic and complex. And voice classification has found useful applications in classifying speakers' gender, mother tongue or ethnicity (accent), emotion states, identity verification, verbal command control, and so forth. Furthermore voice classification potentially can apply to interactive-voice-response system for detecting the moods and tones of customers, thereby guessing if the calls are of complaints or complement, for example. As a consequence, digging into audio data can be beneficial.

web-crawling

Crawl articles from Zhihu And Wechat subscriptions