TJmask

Jie Tang's repositories

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.

Language:Jupyter NotebookMIT6 30

Cu-Copper---EDA-Chinese-future-Market-

This is about the eda of Cu in Chinese Future Market

Language:Jupyter Notebook2 20

awesome-deep-learning

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

100

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.

Language:PythonMIT1 20