Do you want to create your Chatbot with minimum lines of codes? Yes, now it’s possible to build a Chatbot in Python in less than 20 lines of code. In one of my previous articles, I have explained in detail about building a Chatbot In Python Using NLP (NLTK). In this article, we will use a Python library named ChatterBot to build our Chatbot in Python. The ChatterBot library is very easy to use and requires only a beginner level of coding in Python.continue reading
List Comprehension is a method or approach of creating a new list in Python based on any existing list. Learn Python List Comprehension With Examples – Create New List Based On Existing List – Simple, Efficient, and Faster than For Loops.continue reading
In this article, I will demonstrate how to use the Google Indexing API in Blogger or WordPress or in any website for instant indexing for free without writing a single line of code.continue reading
How To Create Python Flask Application? – Flask is a small framework by most standards- small enough to be called a “microframework,” and small enough that once you become familiar with it, you will likely be able to read and understand all of its source code. But being small does not mean that it does less than other frameworks. Flask was designed as an extensible framework from the ground up; it provides a solid core with the basic services, while extensions provide the rest. Because you can pick and
choose the extension packages that you want, you end up with a lean stack that has no bloat and does exactly what you need.
Build a Chatbot in Python- Have you wondered how a computer-based application solves your query in seconds when you contact a customer support executive? A map-based application in your mobile tells you which direction to reach your destination safely even when you are not aware of the routes? Who are they and how do they manage to get your query resolved? Well! a simple answer is ‘they are chatbots’ and in this article, we will talk about AI Chatbot in Python (using NLTK): How to build a chatbot? Follow these 8 simple steps on how to build your own Chatbot in Python.continue reading
Google Indexing API or Indexing API is a service provided by Google to request for a fresh crawl of your web pages or URLs or for Instant Indexing of the web pages or URLs.
The Indexing API allows any website owner to directly notify Google when pages are added or removed from the websites. This allows Google to schedule for a fresh crawl. This can lead to higher-quality traffic.continue reading
Text Classification is a technique using which we organize or group text with some labels or categories. It is also known as Text Tagging. For example, “I am feeling very happy and energetic today”. According to Sentiment Analysis/ Text Classification, we can classify it as ‘Positive’. We use various Machine Learning algorithms/ Deep Learning techniques along with Natural language Processing (NLP) to organize text data. This article will discuss how a pre-trained Machine Learning model can classify a given text SMS as Spam or Ham. The Text Classification Model is based on the Multinomial Naive Bayes Algorithm. The complete code is written in Python Programming Language.continue reading
Ultimate guide on how to build email spam classification model with 99% accuracy using Multinomial Naive Bayes Algorithm. When I was learning the classification algorithm, I always wondering that how Gmail, Outlook, and other email services filter spam emails. So, I decided to build my own Email Spam Classification Model using the theory and concepts that I have learned during my academics. I have built this model as part of my academics using the Multinomial Naïve Bayes Classification algorithm. In this article, We will discuss the types of spam emails and demonstrate a simple Email Spam Classification Model.continue reading