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NLP Analysis Pipeline in Opener Library NLP pipeline implemented in Opener library has the following steps: Language Identifier Tokenizer Stemming Part of Speech(POS) Tagger Named Entity Recognition(NER) Named Entity Linking…
What is Feature Engineering ? Feature engineering is an important step in the data science pipeline. One of the most important questions facing data scientists is how to choose which…
We often hear that data analysts and data scientists should be proficient at listening to data and the art of storytelling with data, but what does that mean? We can…
In this code example, we will apply a convolutional neural networks(CNN) to textual data. More specifically, we will use the structure of CNNs to classify text. Unlike images, which are…
In this article, we discuss key concepts of hadoop and answer various common questions related to hadoop.
This tutorial provides, hands on coding examples covering database programming for Greenplum/PostgreSQL using SQLAlChemy library.
This tutorial shares basic database programming code for PostgreSQL and Greenplum using Python and psycopg2 library.
Not many data scientists realize that it is possible and much more beneficial to build data science models directly on top of a data warehouse. Apache MADlib is an open-source…
Greenplum getting started tutorial, covering basic commands to start/stop the database, creating schema, and tables.
Solving data science problems requires systematic thinking and approach, here's some of the key concepts and steps that you need to apply when trying to solve data science problems.
Understanding big data architecture, and developing effective strategies for big data is key to building modern data science solutions. Here, we provide high level overview of big data architecture.
Q1. What is the minimum no. of variables/ features required to perform clustering? A. 0 B. 1 C. 2 D. 3 Solution: (B) At least a single variable is required…
Python multiple choice questions for learning and self improvement.