Docker is very popular and easy to use container management that can speed up your deployment of your application with few lines of configuration. I always prefer docker-compose.yml to deploy and manage multiple containers of the application. For basic example
Predictive analytics describe the use of statistics and modeling to determine future performance based on current and historical data. Predictive analytics look at patterns in data to determine is event can be occur in future or what problem can be
Outliers are a very important aspect of Data Analysis. This has many applications in determining fraud and potential new trends in the market. And in other sense outliers are extreme values that deviate from other observations on data , they
I have already added a article to write a hello program in machine learning for beginners. You can find that on this link. Here am going to add another article for basic example of ML model for Fruit Identification Model.
Everyone start programming with hello world program right !. We did in our collage time when start learning c, c++. Similarly here the Hello World program in ML (Machine Learning). That might give you better clarity of ML work. In
Here we are continuing our previous post. In this post we would deploy our flask application with with nginx using gunicorn. Create on wsgi.py file Create a wsgi.py file in your root project directory, which will be used by gunicorn.
Prerequsites: Your Flask project/application ready. Linux Server Docker Docker-composer Flask Application Please prepare your flask application. Your application should be runnable on your local host. Your hello world application you can follow this link. Docker file for flask application Create
Prerequisite: Linux Machine. Am assuming you have successfully install docker and docker-composer. Follow instruction to install docker and for docker-composer. docker-compose.yml file. Create a file called docker-compose.yml in your project directory and paste the following: .env file Create a file called .evn
This is document assuming you have already up your mongo docker container and its working fine on your docker container host machine. Let suppose your docker container host machine ip address is x.x.x.1. You can check your docker container up
Insert xls, csv data to mongo db with python, pandas.