In this article, we are going to see how to use dstack.ai for creating ML apps. I have taken the loan prediction dataset. This particular loan prediction app helps predict whether the customer should be given a loan or not based on different parameters. It’s a classification based problem and gives the output as Yes/No(1/0).
dstack.ai is a python framework to create AI and ML apps without writing any frontend code. Before we get started I am assuming that you have installed dstack server on your system and it is running. You can start the server by the following command. …
In this article, you will see how you can deploy your app on streamlit sharing. Before you read the article further, make sure you have an invite to streamlit sharing.
To deploy your app on Streamlit Sharing you need to have a GitHub account. Because you will have to upload all your codes there and link that to your streamlit sharing account.
Once you have uploaded your code to your GitHub. Go to this website: https://share.streamlit.io/ and click on Sign in with Github.
Once you log in and give access to streamlit to your GitHub account you can see the below page. …
In this article, we will see how we can use Streamlit with Image Processing Techniques and Object Detection Algorithms. I am assuming that you have Streamlit installed and working on your system. If you do not know how to start with streamlit then you can refer to my previous article where I have explained it in brief.
I have also deployed this streamlit app on Streamlit Sharing. You can have a look at it before reading the article further.
Here is the link: Image Processing using Streamlit
Let’s dive into the code now.
First importing the necessary libraries
import streamlit as st
from PIL import Image
import numpy as…
As you embark on a new journey keep an open mind. You never what could be until you try, waste no opportunity.
So, a lot of things went as planned and I am happy about it. The Holidays or the Quarantine days are now over for me, since I have joined an organisation as a full time employee. This changes so many things. …
In this article, we are going to make a complete sign up & login page which will be connected to the AWS RDS and we will use MySql Workbench.
Before we begin you must have
Lets begin now !!!
We will create our database first on RDS. The steps are:
Before you submit an article on AWS Pocket, there are a couple of things you must follow.
2.) You are responsible for the content that you publish. Make sure it is citated properly and no copyright issues will arise.
3.) If you are using images in your article, then you need to cite the images too. Best suggested use for images will be unsplash.
4.) You have to make sure that you have the right to publish all the content in your article including images, videos, links, etc
5.)If any violation takes place, then we will report it to Medium. …
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Recently, I came across an open source framework — Streamlit which is used to create data apps. So I spent some time on the documentation and did some data visualization on a Food Demand Forecasting Dataset.
Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours! All in pure Python. All for free.
To get started just type this command:
pip install streamlit
To check whether it was installed properly run the below command:
Understanding of Machine Learning using Python (sklearn)
Basics of Django
Basics of HTML,CSS
In this article you will learn how to deploy Machine Learning (ML) models using Django. We will also discuss the ML Problem Statement which is the HR Analytics.
I have taken this problem from Analytics Vidhya. A special thank you to them for providing such amazing problem statements.
A simple and powerful way of converting your images to customizable format and change them as per your wish. Lets see how we can do this in Adobe Illustrator.
Import the Image and Select it
On the top bar you will see a button Image trace- click on the dropdown. You will find multiple options, but for now choose low fidelity option.
I like to participate in Hackathons to test my skills and also to learn new skills. I find this way of learning quite effective. During my second year in college, I used to think that doing an online course on any of the platforms would be enough. But soon, I would forget what I learned in that course. That’s when I started exploring and came across many websites that post Hackathon problems. I participated in a few but I couldn’t solve the problems and did not understand where and how to start. …