This is an end to end machine learning project starting from the business understanding, data collection, data exploration, model building with deployment, explained in a very detailed way.

Code & Datasets for Practice: https://github.com/pik1989/MLProject-ChurnPrediction

๐—”๐—ด๐—ฒ๐—ป๐—ฑ๐—ฎ:

0:00 Class begins!!
0:30 Introduction to the session
2:05 What is churning, How customer retention is important in various industries?
4:45 Background – Internal & External outlook of the problem statement
5:27 Different churn scenarios
7:20 Decision cycle of a subscriber
12:34 Different churn segments
13:27 High level overview of a Data Science led approach to manage churn
15:35 Suggested data to be captured to solve this problem
20:10 Future scope: Maturing the churn model
21:05 Solution Overview
21:30 Data Explanation
22:19 Exploratory Data Analysis Begins
1:42:25 Model Building – Building a predictive model based on the EDA done to identify probable churners
2:20:36 Flask explanation in short
2:22:36 Model Deployment process begins

To get a detailed understanding on model deployment & flask, please refer: https://www.youtube.com/watch?v=MAu1fPqlivk, for other deployment codes, please refer the below links.

Our other playlists:

๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป – ๐—•๐—ฎ๐˜€๐—ถ๐—ฐ๐˜€ ๐˜๐—ผ ๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ: https://www.youtube.com/playlist?list=PLymcv5WXEpKh6uK1ak5-ReqTluWdSEK2p
๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—•๐—œ: https://www.youtube.com/playlist?list=PLymcv5WXEpKhw7gb4JYU0JhXYqJmUHYN-
๐——๐—ถ๐—บ๐—ฒ๐—ป๐˜€๐—ถ๐—ผ๐—ป๐—ฎ๐—น๐—ถ๐˜๐˜† ๐—ฅ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—พ๐˜‚๐—ฒ๐˜€: https://www.youtube.com/playlist?list=PLymcv5WXEpKjnWi7PMp2nul74TVXJ8q3E
๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ: https://www.youtube.com/playlist?list=PLymcv5WXEpKgmgthfC-Q2MmfqNBOFiAMH
๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐——๐—ฒ๐—ฝ๐—น๐—ผ๐˜†๐—บ๐—ฒ๐—ป๐˜๐˜€: https://www.youtube.com/playlist?list=PLymcv5WXEpKg14VB_uDEYjruW-VTowEjk

Any further questions?

๐—ฅ๐—ฒ๐—ฎ๐—ฐ๐—ต ๐—ผ๐˜‚๐˜ ๐˜๐—ผ ๐—บ๐—ฒ ๐—ฑ๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† ๐—ฎ๐˜: https://www.linkedin.com/in/satyajitpattnaik

#datascience #machinelearning #customerchurnanalysis #customerretention #customerchurnanalytics #customeranalysis #telecom #telco #usecase #deeplearning #flask #eda #exploratorydataanalysis #python

Tags Related
#Customer #customer_service #machine_learning #Churn_Analysis_Prediction_Machine #ai #artificial_intelligence #machine_learning_projects #Customer_Churn_Analysis_and_Prediction #data_science #data_science_course #data_science_for_beginners #what_is_data_science #python #python_tutorial #learn_python #python_programming #Churn_Analysis_and_Prediction|_Machine_Learning #Churn_Analysis_Prediction|_Machine #Customer_Churn_Analysis_Prediction #customer_churn #CustomerChurning #TelcoRetention #TelecomRetention #ChurnAnalysis

source