Toolkits are programming libraries that provide computational building blocks for solving specific programming problems as well as general methods that can be customized to create innovative new tools and workflows. Introduction to Python toolkit Most Popular Python Libraries And Toolkits For Desktop GUI Applications Features of python...

One of the main reasons why Python is widely used in the scientific and research communities, is because of its ease of use and simple syntax which makes it easy to adopt for people who do not have an engineering background. It is also more suited for quick prototyping. Introduction to Data Science Python or Java: The Eternal Question Java vs...

A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. What is a Data Analyst? What does a Data Analyst do? Data analysts might also additionally have the subsequent responsibilities The Skill Set of a Data Analyst Math and Data-Analysis Techniques Are you appropriate to be a facts...

A lambda function is a small anonymous function. A lambda function can take any number of arguments, but can only have one expression. Introduction to Lambda functions in python Anonymous Functions in Python How to use Lambda Functions in Python? Use of Lambda Functions in Python Why use Lambda Functions? Lambda Functions in filter()...

The most used methods are Regression, Clustering, Visualization, Decision Trees/Rules, and Random Forests; Deep Learning is used by only 20% of respondents; we also analyze which methods are most "industrial" and most "academic". Introduction to Data Science tools Top Data Science Tools Features of Data Science Tools Data Science Tools For Data...

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Introduction to Seaborn in python Different categories of plot in Seaborn Features of Seaborn Seaborn - Environment Setup Seaborn - Importing Datasets and Libraries Seaborn -...

The ability to manage large amounts of potential predictor variables, fine-tuning the model to choose the best predictor variables from the available options. It's faster than other automatic model-selection methods. What is Stepwise Regression? Types of Stepwise Regression Example Stepwise regression analysi How Stepwise Regression...

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...