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Let us know what is TensorFlow Lite Task Library

Reading Time: 2 minutes TensorFlow Lite is a framework of software packages that enables ML training locally on the hardware. This on-device processing and computing allow developers to run their models on targeted hardware. The hardware includes development boards, hardware modules, and embedded and IoT devices. TensorFlow Lite Task Library contains a useful and powerful set of interfaces. That helps us handle most of the pre-processing and post-processing logic Continue Reading

Analyzing data.

How To Put Event Data On AWS Event Bus Using Lambda?

Reading Time: 2 minutes In this article, we will talk about how to put event data on AWS event bus using Lambda. This article will help you adapt serverless architecture as it involves one of the standard core data flow models that involve API Gateway, Lambda, and a data processing service such as AWS EventBridge in our case. Throughout the article, we will be taking the help of AWS Continue Reading

How To Quality-Check Python Code Using Pylint On CI?

Reading Time: 2 minutes In this article, we will talk about how to quality-check Python code using Pylint on CI. Code Quality Through CI As we know, code quality is an important aspect of any project. It is the responsibility of every developer to quality-check the code before pushing it to the repository. However, to enforce this and implement the concepts of Continuous Integration (CI), we need to have Continue Reading

Best Approach For Resume screening by Machine Learning-Part 1

Reading Time: 3 minutes Introduction Resume screening is the process of determining whether a candidate is qualified for a role based on his or her education, experience, and other information captured on their resume. It’s a form of pattern matching between a job’s requirements and the qualifications of a candidate based on their resume. The goal of screening resumes is to decide whether to move a candidate forward – Continue Reading

How to Check for Valid Scripts in GitLab?

Reading Time: 3 minutes Hello readers, so today we will look that how can we validate scripts in GitLab. Here we are talking about bash scripts and python scripts. Both of these types of scripts have different syntaxes. So we’ll just verify the scripts whenever a push event occurs in GitLab. Prerequisites A GitLab account Git Installed on local Bash & Python scripts in GitLab repo Code So in Continue Reading

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How to create an EventBridge application in python

Reading Time: 3 minutes Hello Readers!!! In this article, we will see how we can create an eventbridge application in python. First we will see create a python application that will send custom events to eventBridge. Then if rule matches, target will be invoked which would be lambda function in our case. And lambda will prints the event details in the cloud watch. Create an eventbridge project : 1.First Continue Reading

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Provision AWS Services from Boto3

Reading Time: 5 minutes Hello, Readers hope all are doing well and liked my previous blogs on various DevOps tools and practices. If you have not gone through these blogs you can click here for them. Now in this blog, we will check provision AWS Services from Boto3 like ECS and ECR but first, we will understand some basic concepts or components we are going to use here. What Continue Reading

Explore how to apply continual learning to your machine learning models

Reading Time: 3 minutes In this blog, we will be learning about continual learning (CI) importance in artificial intelligence. Continual Learning means the ability of a model to learn independently whenever new data comes in. Some may know it as auto-adaptive learning, or continual AutoML. The idea of CL is to mimic human’s ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. For example, we’ve Continue Reading

Is learning Scala worth in 2022 | Tech

Reading Time: 4 minutes Sometimes it is tricky to make a decision about the new learnings one should pursue to elevate and leverage their proficiency levels in the ‘Languages’ space, especially in the big data ecosystem where plenty of languages are in use and a lot are being adopted at a very rapid pace. As the data is growing exponentially, so is the tech stack. If one looks around, Continue Reading

Let us know about TensorFlow Extended (TFX) components and Libraries?

Reading Time: 3 minutes In this blog, we will be learning about Tensorflow Extended (TFX) components and libraries. TFX is a Google-production-scale machine learning (ML) platform based on TensorFlow. It provides a configuration framework and shared libraries. Moreover, to integrate common components needed to define, launch, and monitor your machine learning system. How Tensorflow Extended (TFX) came up? Since the time Google has publicized Tensorflow, its application in Deep Continue Reading

Use Plotly Library for Visualization

Reading Time: 4 minutes Plotly is a very important and beautiful Library of data science. It is an open-source library. It also supports both framework python and Django It has so many types of graphs like scatter, bar, pie bubble, dot treemap, etc. What is Plotly ? Plotly library which is an open-source and without charge kind of library. The utilize of Plotly for statistical analysis of data enables Continue Reading

File Handling and Operations in Python

Reading Time: 4 minutes Python is extensively used for file handling and operations performed in a file. It supports multiple programming paradigms such as: Structured Programming Object-oriented Programming Functional Programming File Handling Python has its own standard library which is very extensive and offers a wide range of functionalities such as I/O handling and standard solutions to many problems that arise during execution. It uses dynamic typing to verify Continue Reading

Dealing with Missing Values in Python

Reading Time: 4 minutes For any Data Scientist, its very normal to deal with data sets having missing terms and still be able to manage and create a good predictive model out of it. Here we will discuss some techniques to handle missing data in a given data set. Missing Value occur when no data is stored for a variable or feature. It could be represented as “?”, “NA”, Continue Reading