In this tutorial we will be building a simple face detection app with streamlit and OpenCV. We will be using streamlit to help us with our UI. This is going to be a simple Computer Vision App using OpenCV in python. This is how our app will look like after we are done building it. …
Building A Face Detection App with Streamlit and OpenCV Read More »
In this tutorial we will be building a simple ML app with the awesome ML framework -Streamlit. We will be using the car evaluation data set from here. Let us see the basic workflow we will be using for this simple project. Building the ML Model Interpreting the Model Building the ML App with Streamlit …
Simple Machine Learning App with Streamlit using Car Evaluation Dataset Read More »
In this tutorial we will be learning about how to work with a nice framework called Hug. Hug is a framework that allows you to expose a single code in several ways. You can use hug to build some cool products . You can check out how to use hug to productionize your ML models …
Introduction to Hug Framework – Building a Package,API and CLI at once Read More »
In the previous tutorial we saw how to deploy streamlit using docker. In this tutorial we will be looking at how to deploy our streamlit app to Google Cloud Platform App Engine using docker. Docker gives you the possibility to deploy apps on any available cloud platform such as GCP,Azure,AWS ,Alibabacloud etc. The main requirements …
How to Deploy Streamlit Apps to Google Cloud Platform(GCP App Engine) Read More »
In this tutorial we will be learning about how to customize your windows terminal with anaconda or any other program that runs in the command prompt. First of all we will install windows terminal and then anaconda. Installing Windows Terminal The requirements for installing windows terminal is that your Windows 10 Operating system must have …
How to Add Anaconda To Windows Terminal For Data Science Read More »
In a previous tutorial we learnt about the various ways of productionizing and deploying machine learning models and one of the ways is to use docker. In this tutorial we will be using docker to deploy our streamlit app. What is Docker? Docker is a platform for developers and sysadmins to build, share and run …
In this tutorial we will see how to convert JSON – Javascript Object Notation to SQL data format such as sqlite or db. We will be using Pandas for this. Installation pip install pandas sqlalchemy Method 1 : Using Sqlite3 import pandas as pd import json import sqlite # Open JSON data with open(“datasets.json”) as …
API(application programming interface) are a great alternative for communicating and interacting with softwares and applications. In this tutorial we will be learning about how to access and test a web API. A Web API is a form of API that usually utilizes the REST architecture style. It uses the various HTTP request methods to retrieve …
In this tutorial we will be learning how to build an API. What is an API? An API refers to Application Programming Interface. API are like messengers that act as intermediary between two or more applications. It is an interface for interacting and communicating with other softwares and devices. Supposing I have a database or …
Building APIs(Application Programming Interface) – Using Flask, FastAPI and Nodejs Read More »
In a previous post, we learnt about the various ways we can productionize our machine learning models. In this tutorial we will be looking at how to serve our machine learning models as an API- which is one of the ways to productionize your ML model. There are several ways we can achieve this. We …
Serving Machine Learning Models as API with FastAPI Read More »