Statistics 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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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…

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