This article provides a business-friendly view of what Azure Data Factory is, where it fits in the data-tools landscape. Today businesses are generating more and more data, and the amount of data is growing exponentially. Businesses are using a variety of software to drive business. This data comes from different

In my previous article, I have written about a content-based recommendation engine using TF-IDF for Goodreads data. In this article, I am using the same Goodreads data and build the recommendation engine using word2vec. Like the previous article, I am going to use the same book description to recommend books.

I work predominantly in NLP for the last three months at work. It’s been a long time I work on the image data. Hence, I decided to build a unique image classifier model as part of my personal project and learning. One thing I am really missing in the

Text Preprocessing Text preprocessing is an important task and critical step in text analysis and Natural language processing (NLP). It transforms the text into a form that is predictable and analyzable so that machine learning algorithms can perform better. This is a handy text preprocessing guide and it is a

Language analysis can be carried out in many ways. In this blog, we will see how to extract Synonyms and Antonyms from the text using Natural Language Processing(NLTK) WordNet library. Source: Vincent Russo The WordNet is a part of Python’s Natural Language Toolkit. It is a large collection

In today’s online communication, emojis and emoticons are becoming the primary language that allows us to communicate with anyone globally when you need to be quick and precise. Both emoji and emoticons are playing an essential part in text analysis. Both Emoji and Emoticon are most often used in

If we plan to buy any new product, we normally ask our friends, research the product features, compare the product with similar products, read the product reviews on the internet and then we make our decision. How convenient if all this process was taken care of automatically and recommend the

Let’s take the example of any product company. The success of the company or its product directly depends on its customer. If the customer likes their product, then the product is a success. If not, then the company certainly needs to improve its product by making changes to it.

What is Decision Tree? A decision tree is a graphical representation of all the possible solutions to a decision based on certain conditions. Tree models where the target variable can take a finite set of values are called classification trees and target variable can take continuous values (numbers) are called

The art and practice of visualizing data is becoming ever more important in bridging the human-computer gap to mediate analytical insight in a meaningful way. ―Edd Dumbill INTRODUCTION Indian Premier League (IPL), Indian professional Twenty 20 (T20) cricket league established in 2008. The league, which is based on a round-robin

Data scientists come from different backgrounds. In today’s agile environment, it is highly essential to respond quickly to customer needs and deliver value. Faster value provides more wins for the customer and hence more wins for the organization. Information Technology is always under immense pressure to increase agility and

Text-to-speech (TTS) technology reads aloud digital text. It can take words on computers, smartphones, tablets and convert them into audio. Also, all kinds of text files can be read aloud, including Word, pages document, online web pages can be read aloud. TTS can help kids who struggle with reading. Many

According to Gartner, by 2020, a quarter billion connected vehicles will form a major element of the Internet of Things. Connected vehicles are projected to generate 25GB of data per hour, which can be analyzed to provide real-time monitoring and apps, and will lead to new concepts of mobility and

Association discovery is commonly called Market Basket Analysis (MBA). MBA is widely used by grocery stores, banks, and telecommunications among others. Its results are used to optimize store layouts, design product bundles, plan coupon offers, choose appropriate specials and choose attached mailing in direct marketing. The MBA helps us to

What is KNN? K Nearest Neighbour is a simple algorithm that stores all the available cases and classifies the new data or case based on a similarity measure. It is mostly used to classifies a data point based on how its neighbours are classified. Let’s take below wine example.

What is SVM? SVM is a supervised classification method that separates data using hyperplanes. SVM is a supervised machine learning algorithm is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide

Python is a best friend for the majority of the Data Scientists. Libraries make their life simpler. I have come across five cool Python libraries while working on my NLP project. This helped me a lot and I would like to share the same in this article. 1. Numerizer Amazing

In today’s scenario, one way of people’s success identified by how they are communicating and sharing information with others. That’s where the concepts of language come into the picture. However, there are many languages in the world. Each has many standards and alphabets, and the combination of

Speech is the most common means of communication and the majority of the population in the world relies on speech to communicate with one another. Speech recognition system basically translates spoken languages into text. There are various real-life examples of speech recognition systems. For example, Apple SIRI which recognize the