These help you to know the spread of scores within a bunch of scores. Are the scores really close together or are they really far apart. Range Variance Standard Deviation These all are Measures of Dispersion.

Read MoreIn statistics, a central tendency is a central or typical value for a probability distribution. It may also be called a center or location of the distribution. or it helps you to summarize a bunch of numbers with one or just a few numbers. Mean Median Mode These are all measures of central tendency. They help summarize a bunch of scores…

Read MoreAs per dictionary Sensor is a mechanical device sensitive to light, temperature, radiation level, or the like, that transmits a signal to a measuring or control instrument. In simpler terms and device which converts physical energy to electrical energy is known as Sensor. A few sensors commonly used in IoT projects are: Temperature Sensors Proximity Sensors…

Read MoreA mutual/linear relationship or connection between two or more things. Its values very from -1 to 1, it is of two type positive and negative correlation. or Degree and type of relationship between any two or more variables in which they vary together over a period. or Correlation is a statistical measurement of the relationship…

Read MoreMachine learning is being used in a wide range of applications today. One of the most well-known examples is Facebook’s News Feed. The News Feed uses machine learning to personalize each member’s feed. If a member frequently stops scrolling to read or like a particular friend’s posts, the News Feed will start to show more…

Read MoreMachine learning algorithms are often categorized as Supervised or UN-Supervised. Supervised algorithms require a Data Scientist or data analyst with machine learning skills to provide both input and desired output, in addition to furnishing feedback about the accuracy of predictions during algorithm training. Data scientists determine which variables, or features, the model should analyze and…

Read MoreMachine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. The…

Read MoreStatistics is a branch of applied mathematics concerned with collecting, organizing, and interpreting data. The data are represented by means of graphs. Statistics is also the mathematical study of the likelihood and probability of events occurring based on known quantitative data or a collection of data. Statistics, thus attempts to infer the properties of a…

Read MoreStatistics is a crucial part of data science. If you think about the 3 phases of a typical data science project, Data Collection, Data Analysis and Results Communications, statistics is critical in the first two. You need to apply appropriate sampling techniques so data collected are not biased. In Phase II, you need modeling skills…

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