Tapendra Baduwal

Machine Learning,Computer Vision,Natural Language Processing.

less than 1 minute read

The main aim of this project is to use Linear regression in order to figure out how to maximize the Yearly Amount spent by the customers on the basis of some features like Length of Membership,Time on App,Average Session Length,Time on Website.I used FastAPI for an application programming interface and Finally creat Docker of Customer to deliver project.

Step1: Save model and load this model during FastAPI creation.

Step2:Create a FastAPI file and write some code inside this file to show output and API creation.For this we have to load FastAPI

Step3: Create a virtual environment and work under a virtual environment.

Step4: Generate requirement.txt file in which all required modules are stated.

Step5: Create dockerFile in which we have to give some commands to run some file and code.

Step6: Finally create a Customer Docker image ,the location of the docker image in the local machine is /var/lib/docker/.

Detail:

Categories:

Updated:

Comments

You May Also Enjoy

Object-Detection-Module

less than 1 minute read

📝 Build Pycoral object detection module built on top of TensorFlow Lite Python API. The use of Coral USB Accelerator, Depth Camera D415 is carried out to acc...

FaceModule

less than 1 minute read

📝 Develop face module consists of various packages such as Face Capture, Face Annotation, Face Encoding, Face Detection and Face Recognition. The use of the ...

Mathematics

less than 1 minute read

📝 Linear Algebra,Probability,Statistics and Calculus for Machine Learning.

Natural-Language-Processing

less than 1 minute read

📝 Beautiful Soup web scraping uses intelligence automation methods to get thousands or even millions of data sets in a smaller amount of time, Stemming, Lemm...