Time-Series Behavioral Analysis for Churn Prediction - Damon Danieli - ML4ALL 2019
Time-Series Behavioral Analysis for Churn Prediction
Damon Danieli
This talk covers the data engineering, feature extraction, and the processing for predicting future user behavior. By the end of the presentation, you should have a direction to explore if you are building your own system as well as some concrete patterns that we found worked for us.
http://ml4all.org/schedule.html
video by https://backpedal.tv
Видео Time-Series Behavioral Analysis for Churn Prediction - Damon Danieli - ML4ALL 2019 канала ML4ALL
Damon Danieli
This talk covers the data engineering, feature extraction, and the processing for predicting future user behavior. By the end of the presentation, you should have a direction to explore if you are building your own system as well as some concrete patterns that we found worked for us.
http://ml4all.org/schedule.html
video by https://backpedal.tv
Видео Time-Series Behavioral Analysis for Churn Prediction - Damon Danieli - ML4ALL 2019 канала ML4ALL
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Predicting Customer Churn: A Case for Churn in Retail & E-Commerce
Customer Churn Prediction, Segmentation and Fraud Detection in Telecommunication Industry
Automating your Developer Workflow - Hamel - Lightning Talk - ML4ALL 2019
My Journey Learning ML and AI through Self Study - Sachi Parikh - ML4ALL 2019
How would a Data Scientist analyze Customer Churn?
LSTM Time Series Forecasting Tutorial in Python
Build a tower, build a team | Tom Wujec
Mini Lecture: Churn Prediction: Analysis and Applications
Implementing and Training Predictive Customer Lifetime Value Models in Python
Average Handle Time | Managing Metrics
LSTM is dead. Long Live Transformers!
Predictive Maintenance, Part 1: Introduction
Predict Employee Attrition Using Machine Learning & Python
Customer churn prediction using ANN | Deep Learning Tutorial 18 (Tensorflow2.0, Keras & Python)
PyData Tel Aviv Meetup: SHAP Values for ML Explainability - Adi Watzman
Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex
The Game Life-Cycle and Game Analytics: What Metrics Matter When? | Mark GAZECKI
Uplift Modeling for Churn Prediction
ML Signal Reconstruction - Ben Hendrickson - Lightning Talk - ML4ALL 2019