python

Why Use MongoDB in Machine learning? And how to use MongoDB in Python?

Reading Time: 5 minutes In this blog, we will learn why to use MongoDB in Machine Learning. And how we can use MongoDB in Python using Pymongo. MongoDB is a document-oriented NoSQL database used for high-volume data storage. Instead of using tables and rows as in the traditional relational databases. MongoDB makes use of collections and documents. It is an open-source, cross-platform, document-oriented database written in C++. Installing MongoDB Continue Reading

django postgres image

How to Connect PostgreSQL With Django Project

Reading Time: 4 minutes Hi, Reader in this blog we are going to see How to Connect PostgreSQL With Django Project. I will perform these tasks in a virtual environment. What is Virtualenv? A Virtualenv is a way that you can separate different python environments for different projects. So why do you want to do something like this for example say that you have multiple projects and they all Continue Reading

Introduction to Ensemble Learning

Reading Time: 4 minutes Ensemble methods are techniques that create multiple models and then combine them to produce improved results. Ensemble learning usually produces more accurate solutions than a single model would. This has been the case in a number of machine learning competitions and, where the winning solutions used ensemble methods. Ensemble methods You must ensure that your models are independent of one another and when creating a Continue Reading

TensorFlow Graphics: A small introduction to the graphical world

Reading Time: 2 minutes In this blog we will see the use of TensorFlow graphics on three dimensional objects. So what is computer graphics? Computer Graphics is a sub-field of computer science which studies methods for digitally synthesising and manipulating visual content. Today Computer graphics is a core technology used in films, games, videos, phones, computer display etc. It has evolved overs the years, today you can make amazing Continue Reading

Hyperparameter Optimization and Tuning

Reading Time: 3 minutes A Machine Learning model is defined as a mathematical model with a number of parameters that need to be learned from the data. By training a model with existing data, we are able to fit the model parameters.However, there is another kind of parameters, known as Hyperparameters. Hyperparameters contain the data that govern the training process itself These parameters express important properties of the model such Continue Reading

TensorFlow Recommenders (TFRS): An Overview

Reading Time: 4 minutes Hey Guys, Aren’t you surprised, when you watch any video on youtube or any movie on Netflix or look for any product on an E-Commerce website?You start receiving similar kinds of videos, movies, and products suggestion on respective platforms.So, how do platforms do that?.Well, they use recommender systems, an important application of machine learning, surfacing new discoveries and helping users find what they love.In this Continue Reading

APACHE AIRFLOW: Sending email notifications 

Reading Time: 3 minutes If you are reading this blog I assume you are already familiar with the DAG creation in Apache Airflow. If not, please visit “Dag in Apache Airflow”. This blog explains: – Sending email notifications using EmailOperator. – Sending email notification when Dag or task fails Here, we will schedule a dag that consists of 3 tasks. Task_1 and Task_2 are using BaseOperator while sending_email task Continue Reading

An Intro to Chatbot Development using RASA

Reading Time: 4 minutes What is RASA? RASA is an open-source chatbot framework based on machine learning. With the help of it, we can easily create highly accurate and sophisticated chatbots and can easily integrate these chatbots with our website, Telegram, Facebook, etc. Before we get into it, let’s look into some simple concepts that we should know while creating a chatbot. Query A query is the user message Continue Reading

Multiclass Classification: All you need to know

Reading Time: 3 minutes In this blog we are diving into a multiclass classification problem, and how you can make a good predictive model over an image data set. Classification is one of the most important practice among the AI/ML practitioner. It it important to master this skill as in real world see a lot of use of this. Ex: Tesla uses it to classification among with other models Continue Reading

Cloud Data Loss Prevention (DLP): Part-2

Reading Time: 2 minutes Google Cloud Platform’s Data Loss Protection API provides a service that can make organizations manage sensitive data, including detecting and redaction, masking, and tokenizing such data. This can help organizations comply with regulations such as GDPR, and reduce the risk of data exposure and data breaches. Such as a name, email address, telephone number, identification number, or credit card number. In the previous blog Cloud Data Loss Continue Reading

Getting Started With Django web framework

Reading Time: 4 minutes What is Django? Django web framework is a full-fledged python based web framework that can be used to build complex and highly scalable web apps. It closely follows the MVC(Model, View, Controller) pattern of software development i.e., MVT(Model, View, Template) where the template is equivalent to the controller in the MVC pattern. Model defines the data structure. This is the base layer to an application Continue Reading

How To Find Correlation Value Of Categorical Variables.

Reading Time: 4 minutes Hey folks, In this blog we are going to find out the correlation of categorical variables. What is Categorical Variable? In statistics, a categorical variable has two or more categories.But there is no intrinsic ordering to the categories. For example, a binary variable(such as yes/no question) is a categorical variable having two categories (yes or no), and there is no intrinsic ordering to the categories. Continue Reading

Know basics of OpenCV for Image Processing in Python

Reading Time: 5 minutes OpenCV known as Open Source Computer Vision, is a library in Python used for Computer Vision and Image Processing Tasks. It has a modular structure and includes several shared and static libraries. OpenCV can be used in languages such as Python, C++, Java etc. Some of the applications of OpenCV include Edge Detection, Face Detection, Object Detection, Face Recognition etc. Using OpenCV we can process Continue Reading