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Data Science

Data Science

Object Detection using Python

Object detection is a process by which the computer program can identify the location and the classification of the object. Object detection is very useful in robotics, especially autonomous vehicles. There are many libraries and frameworks for object detection in python. In this tutorial, we are going to use object detection on both photos and videos using the OpenCV library and perform object detection using Python. Prerequisites Anaconda: The Anaconda distribution is a collection of packages that consists of Python, R, and over 120 of the most popular open-source packages for science and data processing. This means that this distribution…

Data Science

Convert Image to Text using Python

Data extraction from images is an exciting field that has a wide range of applications. From detecting landmarks and labeling images to creating search engines for finding similar images based on their content, there are a lot of possibilities for creating exciting services for our customers. This blog will discuss how to convert image to text using Python. What is OCR? Optical character recognition, or OCR for short, is the process of converting an image of text into machine-encoded text. It’s one of the most important areas of Machine Learning. And it’s not just for nerdy machine learning enthusiasts, it…

Data Science

Fuzzy Text Search using Python

Fuzzy string matching is like using regex and using the equals operator but in a fuzzy way so it doesn’t have to be the same string. In simple words, Fuzzy string matching is a technique of locating partial matches to a search query in data based on phonetic similarity. In this post, we’re going to look at Fuzzy Text Search using Python that uses the Levenshtein Distance method. Levenshtein Distance, also known as Edit Distance, it’s a technique used to measure how similar two strings are. So how does it work?  First, we calculate the Levenshtein distance between the two…

Data ScienceML & AI

How to predict US Stock Price using Python?

Stock market prediction is a hot topic nowadays. Because of the big speculation risk, the stock market is highly influenced by the news, such as the policy change caused by the Federal Reserve, the interest rate, and so on. This article describes how to predict US stock price using Python with the help of artificial intelligence technology of deep neural networks to predict US stock prices. We will write a program in python that predicts the movement of the US stock market by using historical data. Pre-Requisites: Numpy: NumPy, short for Numerical Python, is a Python library used for scientific…

Data ScienceML & AI

Image Classification using Python

This tutorial shows how to perform image classification using Python and TensorFlow. In this project, we build a classifier to distinguish between different types of clothing items. We are using the fashion_mnist pre-trained model. It is a good example of how to use pre-trained models in TensorFlow. What is Image Classification? Image classification is a class of machine learning algorithms that use computers to look at images and classify them. Classifying images is a way for machines to learn about the world around us. Image classification is well suited for visual recognition, wherein the images have a natural one-to-one correspondence…

Data ScienceProgramming

Automate Data Processing in Python with Mito

A spreadsheet can be an excellent way to slice, dice, and manipulate data depending on what one needs to do. Spreadsheets are a popular and commonly used form of software that is used to help manage various bits of information and data and can be used to manipulate that data to create charts, graphs, and other visual representations of the information that are important for understanding and comparing data. Microsoft Excel is one of the most commonly used spreadsheets. There are certain kinds of information in a dataset that might not look so easy at first glance but a good…

Data ScienceProgramming

Getting started with Apache Cassandra in Python

Apache Cassandra is a highly scalable database with tunable consistency. It is a NoSQL database and it is used by large organizations in varied application domains. Getting started with Apache Cassandra in Python can prove to be an intensive and time-consuming task for any developer or data scientist. Cassandra has a steep learning curve and it comes with an array of tools and configurations. This blog covers what Apache Cassandra is, how it is different from relational databases, and ways in which it is better. We’ll go over a simple example made using Python of what it would take to…

Data ScienceProgramming

Schedule Python Scripts with Apache Airflow

If you want to work efficiently as a data scientist or engineer, it’s important to have the right tools. Having dedicated resources on hand allows one to perform repetitive processes in an agile manner. It’s not just about automating those processes but also performing them regularly on a consistent basis. This can be anything from extracting, analyzing, and loading data for your data science team’s regular report to re-training your machine learning model every time you receive new data from users.  Apache Airflow is one such tool that lets you efficiently make sure that your workflow stays on track. It…

Data ScienceProgramming

Grammar Correction using Python

Grammar is important, but it’s not as simple as memorizing all the rules and applying them. It used to be that using correct grammar in an app, website or some other form of “easy-to-use” technology wasn’t possible in the past. But now, more and more software developers are changing their tunes when it comes to allowing people complete access to thousands of grammar rules so that even machine-generated copy can be edited automatically by other programs. In this tutorial, we’ll be doing Grammar Correction using Python. Gramformer is one such python package, it is a library that exposes 3 separate interfaces…

Data ScienceML & AI

Basic Neural Network in Python to Make Predictions

A neural network is a network of complex interconnected processing elements that works together to solve problems. It is a great example of parallel computing and it is an example of a non-von Neumann architecture. In this article, we’ll create a feed-forward neural network and will look at the different aspects of neural networks and use backpropagation to predict its results. This article will be presented in a teaching style of the subject and each topic will be connected to an explanation. This article will also try to explain some of the more technical aspects of neural networks in simple…

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