tutorials-blog

All Your Langchain Questions Answered

25/05/2023: Langchain is a Python library that provides developers with the ability to create AI powered applications. It offers an efficient and reliable platform for building intelligent systems, leveraging the power of machine learning algorithms. By harnessing the power of Langchain, developers are able to quickly build complex models and applications in a fraction of the time required by traditional methods. As such, it has become increasingly popular as an AI development platform. Langchain is unique in its approach to machine learning, allowing developers to create sophisticated models with...

How to Train Your Own Chatbot using GPT-2

15/05/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's Python training courses including Python (Advanced), Python Machine Learning, Python for Financial Traders, Data Science and AI/ML (Python), Azure Cloud Introduction & DevOps Introduction I. Introduction Chatbots are computer programs that simulate conversation with human users, usually through text or voice interfaces. They are widely used in customer service, e-commerce, and other industries to provide information, answer questions, and engage with users. Chatbots can...

Power BI AI and ML: A Comprehensive Guide for Data Analysis and Visualisation

15/05/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's Power BI training courses including Power BI - Visualisation, Power BI - Dax Data, and Power BI - Beyond the Basics and our courses in Data Science and AI/ML (Python) I. Introduction Power BI is a powerful business intelligence tool that allows users to visualize and analyze data from various sources. With the integration of Artificial Intelligence (AI) and Machine Learning (ML) capabilities, Power BI has become even more powerful. Power BI AI and ML allows users to analyze...

A Beginner's Guide to Deep Learning, Neural Networks, and Convolutional Neural Networks

Deep Learning 101: A Comprehensive Guide to Neural Networks and Convolutional Neural Networks

10/05/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's Python training courses including Python (Advanced), Python Machine Learning, Python for Financial Traders, Data Science and AI/ML (Python), Azure Cloud Introduction & DevOps Introduction Introduction: Deep learning is a subset of machine learning that uses artificial neural networks to model and solve complex problems. Deep learning has seen widespread adoption in recent years and has been applied to a wide range of applications, including image recognition, natural language...

Introduction to Linear Regression

05/05/2023: Section I: Introduction to Linear Regression A. Explanation of Linear Regression Linear regression is a popular statistical method that is used to model the relationship between a dependent variable and one or more independent variables. It is a type of supervised learning algorithm in machine learning that is used for regression analysis. In linear regression, a linear relationship is established between the input variables and the output variable. The goal is to find a straight line that best fits the data, which can then be used to predict future values of the output variable. B. Importance...

How to Build a Flask Web Application: A Step-by-Step Guide

Building a Flask Web Application: A Step-by-Step Guide

04/05/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's Python training courses including Python (Advanced), Python Machine Learning, and Python for Financial Traders Introduction: Flask is a popular web framework for Python that allows developers to quickly and easily build web applications. In this guide, we'll provide an overview of Flask and its benefits, and then walk through the process of building a simple web application using Flask. Explanation of Flask Flask is a micro web framework that allows developers to quickly...

Building a Sentiment Analysis Tool in Python 2

24/04/2023: Introduction: Sentiment analysis is a popular application of natural language processing that involves analyzing text to determine the sentiment or emotional tone of the writer. With the increasing amount of online content, sentiment analysis has become an essential tool for businesses and individuals looking to monitor online conversations about their brand, products or services. In this guide, we will use Python to build a sentiment analysis tool that can classify text as positive or negative. We will go through the process step by step, starting with installing the required libraries,...

Build a Data Visualization Tool with Python: A Step-by-Step Guide

24/04/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's Python training courses including Python (Advanced), Python Machine Learning, Python for Financial Traders, Data Science and AI/ML (Python), Azure Cloud Introduction & DevOps Introduction I. Introduction Data visualization is a crucial aspect of data analysis. It helps in presenting complex data in a simple and easy-to-understand manner, making it easier to identify patterns and insights. In this step-by-step guide, we'll explore how to build interactive data visualizations...

Build a Sentiment Analysis Tool with Python

20/04/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's Python training courses including Python (Advanced), Python Machine Learning, Python for Financial Traders, Data Science and AI/ML (Python), Azure Cloud Introduction & DevOps Introduction I. Introduction A. Explanation of sentiment analysis Sentiment analysis is a subfield of natural language processing (NLP) that involves analyzing and understanding the emotions and opinions expressed in textual data. B. Importance of sentiment analysis It is a powerful tool that can...

How to Build a Data Visualization Tool in Python

20/04/2023: This article is brought to you by JBI Training, the UK's leading technology training provider. Learn more about JBI's Python training courses including Python (Advanced), Python Machine Learning, Python for Financial Traders, Data Science and AI/ML (Python), Azure Cloud Introduction & DevOps Introduction I. Introduction Data visualization is a powerful way to communicate information and insights through visual representations of data. It helps us to better understand complex information and patterns, make data-driven decisions, and communicate findings to others. In today's data-driven...

10 Real-World Python Projects to Enhance Your Coding Skills

17/04/2023: Introduction: Python is one of the most popular programming languages in the world. It is used for a wide range of applications, including web development, data analysis, machine learning, and more. One of the best ways to enhance your Python skills is by working on real-world projects. In this guide, we will explore 10 real-world Python projects that you can work on to take your coding skills to the next level. These projects will help you gain hands-on experience with Python and its libraries, and teach you valuable skills that you can apply to other projects. Project 1: Build a Web...

Build a Web Scraper with Python: Step-by-Step Guide with Code Examples

17/04/2023: Web scraping is a powerful technique for gathering data from websites, and Python is a great language for building web scrapers. In this article, we'll cover the basics of building a web scraper with Python and the BeautifulSoup library. What is Web Scraping? Web scraping is the process of extracting data from web pages. It involves sending a request to a website, downloading the page's HTML content, and then parsing that content to extract the data you're interested in. There are many use cases for web scraping, including data mining, research, and monitoring. However, it's important...

Build a Chatbot with Python: A Comprehensive Step-by-Step Guide

How to Build a Chatbot using Python

17/04/2023: Introduction: Chatbots have become a popular tool for businesses to improve customer service and automate repetitive tasks. Building a chatbot using Python is an excellent way to develop your programming skills and create a useful tool. In this tutorial, we will go through the steps to build a chatbot using Python. Step 1: Set up a Development Environment To start building a chatbot, you will need to set up a development environment. Python is a popular programming language for chatbot development, so you should have Python installed on your computer. You will also need a text editor...

Building a Recommendation System with Python: A Comprehensive Guide

17/04/2023: Introduction Recommendation systems have become an integral part of many online platforms, from e-commerce to content streaming services. A recommendation system suggests items that a user may be interested in based on their preferences or behavior. Collaborative filtering is a popular technique for building recommendation systems that is based on the idea that users who have similar preferences in the past will have similar preferences in the future. In this tutorial, we will learn how to build a recommendation system using collaborative filtering in Python. Prerequisites To follow along...

Mastering Clean Code with Python: Best Practices and Techniques for Readable and Maintainable Code

How to Write Clean Code with Python

06/04/2023: How to Write Clean Code with Python Writing clean and readable code is essential for any Python developer. Clean code is easy to understand and maintain, making it more efficient and cost-effective in the long run. In this guide, we will explore the best practices and techniques for writing clean code with Python. 1. Understand the Principles of Clean Code Clean code follows a set of principles and best practices that help developers write efficient, maintainable, and readable code. Some of the key principles of clean code include: Keep it simple and readable Use meaningful names for...

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