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talkingdata

Here are 12 public repositories matching this topic...

TalkingData / inmap

大数据地理可视化

visualization map data-visualization visualize-data talkingdata inmap

Updated Mar 4, 2024
JavaScript

ShawnyXiao / 2018-Kaggle-AdTrackingFraud

2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)

data-mining kaggle binary-classification talkingdata ctr cvr 2018

Updated Jan 12, 2019
Jupyter Notebook

UtkarshGarg-UG / Kaggle-TalkingData

data-science machine-learning exploratory-data-analysis kaggle talkingdata

Updated Mar 12, 2018
Jupyter Notebook

TalkingData / AppAnalytics_SDK_ReactNative

TalkingData react-native SDK封装层

react-native talkingdata appanalyser

Updated Dec 5, 2022
Objective-C

Yak0xff / Myna

A context awareness framework for Android platform

dice machine-learning random-forest human-activity-recognition talkingdata context-awareness

Updated Jul 26, 2017
Java

ajayarunachalam / TalkingData-Adtracking-Fraud-Detection

Predictive Model

r jupyter-notebook prediction kaggle-competition lightgbm predictive-modeling talkingdata kaggle-dataset

Updated Apr 20, 2018
Jupyter Notebook

kwongfung / TalkingData

Private spec file for private use

Updated Nov 14, 2017
Objective-C

anuragkumar / TalkingData-AdTracking-Fraud-Detection-Challenge

TalkingData AdTracking Fraud Detection Challenge

random-forest lightgbm logistic-regression support-vector-machine talkingdata supervised-machine-learning classification-model

Updated Feb 15, 2019
Python

puneeth019 / TalkingData_Puneeth

Kaggle TalkingData Competition

kaggle-competition talkingdata

Updated Feb 13, 2017
R

ElfSundae / TalkingDataAppAnalytics

TalkingData App Analytics SDK

ios analytics udid talkingdata appanalytics

Updated Mar 9, 2022
Objective-C

alokkumary2j / Talking-Data

Attempts on Kaggle Problem "Talking Data"

keras kaggle-competition supervised-learning ensemble-learning talkingdata

Updated Sep 6, 2016
Jupyter Notebook

Atashnezhad / Fraud_Detection_Pyspark

In this project, the ML algorithm should detect the fraud clicks, taking the click time, IP address, app_id, etc into account. The provided data is very unbalanced with less than 1% fraud clicks.

data-science algorithm random-forest pyspark talkingdata fraud-detection

Updated Sep 26, 2023
Jupyter Notebook

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