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The button to open SMS provides users with the convenience of sending SMS to a phone number directly from our website instead of writing it down and then messaging to that number. With the help of href attribute, we replace the URL with a cellphone number and add sms, before it to make an SMS hyperlink. There are several use cases for creating a button to open SMS compose to a phone number such as Contacting customer support, Requesting information, Sales and marketing etc. This can be especially useful for users who prefer text messaging over phone calls ... Read More
Introduction A single token is called a unigram. A unigram tagger is the type of tagger that requires only one word for inferring the Parts of Speech of a word. It has the context of a single word.NLTK library provides us with the UnigramTagger and is inherited from NgramTagger. In this article let us understand the training process of Unigram Tagger in NLP. Unigram Tagger and its training using NLTK WORKING The UnigramTagger is inherited from the ContextTagger. A context() method is implemented. The context method has the same arguments as the choose_tag() From the context() method, a ... Read More
Dark themes have grown in popularity recently since they can lessen eye fatigue and make it easier to watch display screens for extended periods of time. This post will discuss the CSS slider functionality to produce a dark theme. A common user interface component called a CSS slider, commonly referred to as a range slider, enables users to choose a value within a range by sliding a handle along a track. They are frequently employed in settings panels and online forms. Syntax Type − input type such as button check box or range Min − minimum range ... Read More
Introduction WordNet is a large database of words present in the NLTK library in present in many languages for Natural Language related use cases. NLTK library has an interface known as Synset that allows us to look for words in WordNet. Verbs, Nouns, etc. are grouped into sunsets. WordNet and Synsets The below diagram shows the structure of WordNet. In WordNet, the relationship between words is maintained. For example, words like sad are similar and find the application under similar contexts. These words can be interchanged during usage. These kinds of words are grouped for synsets. Each synset is ... Read More
In today's digital era, Instagram has emerged as a popular platform for sharing special moments and connecting with people, now, picture the ease of automatically posting photos on Instagram without any manual effort, all achieved through the utilization of Python programming. This article aims to guide us through the process of automating picture posts on Instagram, providing a step-by-step approach. By harnessing the power of the Instagram API and the "instabot" library, we will gain insights into logging in, uploading images, adding captions, and logging out seamlessly. What is instabot library in Python? The `instabot` library in Python is ... Read More
In today’s date, Artificial Intelligence has impacted our lives way in that nothing else could have impacted. It has changed how our daily jobs are done and has involvement in major areas of our industry, lives, and almost everything. Here in this article, we are going to see some areas in our lives where Artificial Intelligence has significantly played its role. Health Industry Healthcare is a growing and crucial industry in the 21st century. Not only it is providing a better life to people but also saving millions of lives every day. We just can't overlook the health aspect of ... Read More
Introduction Categorical data is a type of data that takes a fixed number of values and there is no possible logical order in such variables. Categorical variables can be blood groups, yes-no situations, gender, ranking (ex. first, second, third), etc. Categorical variables most of the time undergo encodings such as one hot encoding, and nominal encoding to represent them in binary or integer format for the Machine Learning use case under consideration. Categorical Data and related terms Mode is the most common central tendency associated with categorical variables/observations. It is the value in the set of observations that has the ... Read More
Introduction Machine Learning is a diverse area with a wide range of applications in many domains. As far as we have an abundance of usable data and a problem to solve in a particular area, Machine Learning can do wonders. Machine Learning Projects can vary in terms of complexity from simple Regression tasks for predicting sales, and wine quality to complex tasks like Object Recognition, Autonomous Vehicles, and Reinforcement Learning. However, for someone who is a beginner in Machine Learning, the discussed below 5 projects can be highly useful. Predicting the Quality of Wine For folks who are a beginner ... Read More
In Python we have a number of modules and packages which needs to be installed to work with. We have various ways to check if a python package is installed in python environment. Package is a directory which contains one or more python modules and also has the __init__.py file which is an initialization file. For using the package, we have to import it by its name. These can be inbuilt packages or allows developers to create the reusable code that can be imported into other programs by avoiding the duplicating of code. Using try and except When we ... Read More
In pandas library, we create the data in the form of rows and columns. The columns can be of string data type. The list of strings means the list containing the string elements. Pandas is one of the libraries in python which is abbreviated as Python Data Analysis Library. It is used to perform data analysis, data cleaning, data manipulations and scientific calculations. The data in pandas library is represented in columns and rows. It has many functions and modules which are used to perform data analysis and manipulations. Python provides different ways to check if pandas column has ... Read More