A web crawler, or spider, is a type of bot that is typically operated by search engines like Google and Bing. Their purpose is to index the content of websites all across the Internet so that those websites can appear in search engine results. Introduction to Web Crawler A Web Crawler overview Features of Web Crawler Web Crawler...

The Pandas module mainly works with the tabular data, whereas the NumPy module works with the numerical data. The Pandas provides some sets of powerful tools like DataFrame and Series that mainly used for analyzing the data, whereas in NumPy module offers a powerful object called Array. Introduction to Pandas Key Features of Pandas Prologue to...

Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. Introduction of Data wrangling Importance of Data Wrangling Benefits of Data Wrangling Data Wrangling Tools Data Wrangling Examples Data Wrangling vs. ETL Data Wrangling Skills Required Steps of Data Wrangling...

A data scientist's role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations. Introduction to Data Scientist Data Scientist Responsibilities Characteristics of a Successful Data Scientist Professional Data...

Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. What is Data Analysis? Data Analyst remuneration in the India Who is also a Data Analyst? Job Roles in Data Analysis knowledge Analyst Skills required Affecting the Salary of a Data...

Elasticsearch though open source is still managed by Elastic's employees. Solr supports text search while Elasticsearch is mainly used for analytical querying, filtering, and grouping. Solr Elasticsearch Age associated Maturity Solr vs Elasticsearch: Community and Open supply Solr vs Elasticsearch: categorisation and Search Solr vs...

R is a programming language and free software environment for statistical computing and graphics. Introduction of R programming Why R Programming Language? Features of R Programming Language Statistical Features of R Programming Features of R ...

A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician and computer professional. Introduction of Data Scientist Tools for Data Scientist Features of...

Their main applications are speech recognition, speech to text recognition, and vice versa with natural language processing. Such examples include Siri, Cortana, Amazon Alexa, Google Assistant, Google Home, etc. Introduction of Deep Learning Tools of Deep Learning Skills of responsibilities of a Deep Learning Features / Characteristics...

Ridge Regression, which penalizes sum of squared coefficients (L2 penalty). Lasso Regression, which penalizes the sum of absolute values of the coefficients (L1 penalty). Introduction of Ridge and lasso regression Tools of Ridge and lasso regression Breaking Opportunities and Impact of Ridge and lasso regression Features / Characteristics...