use machine learning to predict a next day of visit for customer I have a problem a need your suggestion , I am working in a retail data , and want to predict the behavior of the customer , the data contains information about the customer who visits the shopping center, it only contains the customer unique identifier and the customer visits for 143 weeks so for each record I have visitor Id and visits , the visits contains numbers such as 1 5 30 ..etc , 1 is the first day of the first week which is Monday then 5 means Friday , then 30 means Tuesday for the fourth week and etc , what I am trying to do is to predict when the first day of the visit for the next 144th week can you please help me in this

This is the data format

+------------+-------------------------------------------------------------------------------------------------------------------+
| visitor_id |                                                       visits                                                      |
+------------+-------------------------------------------------------------------------------------------------------------------+
|          1 |             30 84 126 135 137 179 242 342 426 456 460 462 483 594 600 604 704 723 744 787 804 886 924 928 946 954 |
|          2 |  24 53 75 134 158 192 194 211 213 238 251 305 404 418 458 476 493 571 619 731 739 759 761 847 883 943 962 981 983 |
+------------+-------------------------------------------------------------------------------------------------------------------+
You can approach that problem as time-series prediction problem. 
Below is one of articles or tutorials about time-series forecasting/prediction.

https://machinelearningmastery.com/time-series-forecasting/