Tag: Data Science

Data Science, Machine Learning

Who is a Data Scientist?

 A Data scientist is a person who extracts insights from data sets. He has enough knowledge and skills to do sophisticated and systematic analysis of data that helps for product development, and evaluates and identifies strategic opportunities for your organization.   “A data scientist represents an evolution from the business or data analyst role. The formal training is similar, with […]

Data Science, Machine Learning

Top NLP (Natural Language Processing) Products in the Market! – 2017

In recent years, Natural Language Processing (NLP) technology has progressed quite rapidly in spite of many challenges. The trend is expected to continue with further advancements in the coming years. Today, there is a plethora of diversified NLP solutions featuring new age technologies. As new solutions come along at a rapid pace, the need emerges for an objective method to […]

Data Science, Data Science with Python

15 Popular Python Libraries for Data Science and Analytics – 2017

In the past few years, Python has gained a lot of attraction in Data Science industry. Some of its most useful libraries make Python extremely useful for working with data. As a result, Python tops 2017’s most popular programming Languages. In this post I want to outline some of its most useful libraries for data scientists and machine learning engineers. […]

Data Science, R Programming

20 Most Popular R packages

R offers multiple packages for performing data analysis. Apart from providing an awesome interface for statistical analysis, the next best thing about R is the endless support it gets from developers and data science maestros from all over the world. Currently, the CRAN Package repository features 11349 available packages. But the question is which packages are the most popular packages used […]

Data Science with Python

Making Data Management Decisions | Your Second Program

This example is almost similar to the previous example.  Here, I will show some basics of  Data Analysis and Data Engineering.  Setting aside missing data, coding valid data and recoding values, creating secondary variables, Grouping values within individual variables  helps you to make and implement even more decisions with data. Statisticians often call this task ‘data management’, while data scientists like the term […]

Data Science with Python

Data Management and Visualization | Running Your First Program

In this example, I will show some basics of  Data Analysis and Data Engineering.  Setting aside missing data, coding valid data and recoding values, creating secondary variables, Grouping values within individual variables  helps you to make and implement even more decisions with data. Statisticians often call this task ‘data management’, while data scientists like the term ‘data munging’. Download the code  Open […]

Data Science with Python

Download and Learn about Gapminder Dataset

For the purpose of Data Science with Python tutorial, I would like to work with a data set called Gapminder and I will provide some sample python codes for learning data analysis fundamentals. This portion of the GapMinder data includes one year of numerous country-level indicators of health, wealth and development.   Download GapMinder Data Set : gapminder.csv   Visit http://www.gapminder.org for more information GapMinder Founded in Stockholm by […]

Data Science, Data Science with Python

Structure of a Data Science Project | Different Phases in Data Science Project

A typical data science project will be structured in a few different phases. There’s roughly five different phases that we can think about in a data science project. Phase 1: Defining A Question The first phase is the most important phase, and that’s the phase where you ask the question and you specify what is it that you’re interested in […]