Skewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the center point. Kurtosis is a measure of whether the data are heavy-tailed or light-tailed relative to a normal distribution. Introduction to Skewness vs Kurtosis Comparison...

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Introduction What is Data Science? What is...

A confusion matrix is a table that is often used to describe the performance of a classification model (or "classifier") on a set of test data for which the true values are known. Introduction to Confusion Matrix Confusion Matrix of True Positive Confusion Matrix of False Negative Confusion Matrix of False Positive Confusion Matrix of...

Polynomial Regression is a form of Linear regression known as a special case of Multiple linear regression which estimates the relationship as an nth degree polynomial. Polynomial Regression is sensitive to outliers so the presence of one or two outliers can also badly affect the performance. Introduction to polynomial Regression Polynomial...

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...