1. Correlation: Correlation is a statistical measure that expresses the linear relation between two variables.
2. Regression: Regression analysis is a mathematical technique used to analyze some data, consisting of a dependent variable and one (or more) independent variables with the aim to find an eventual functional relationship between the dependent variable and the independent ones.
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1. Pandas was created by Wes McKinney in 2008, as a Python library for data manipulation and analysis. Wes McKinney built Pandas based on their need for a powerful and flexible analysis tool.
2. NumPy is another library used for Python, which is used for mathematical functions. It is popular in processing multidimensional array objects, and various derived objects (such as masked arrays and matrices) and is mostly used in machine learning computations.
Histogram: The chart above is a simple histogram of the “total_bill” variable. At a glance, we can see that a single meal at this restaurant generally costs around $10 to $25, and there is a positive skew due to some diners ordering more expensive food with prices above $50.
Count Plot: Now, let’s look at the number of male and female diners at the restaurant, to determine the gender that visits the eatery more often.
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🤔 Every email marketing campaign will succeed or fail, but how do you categorize something as a success or a failure? That's where metrics come in: online.datasciencedojo.com/blogs/measure-…
1. A conversion is characterized as a completed action towards a goal. Whether it's signing up for a newsletter or buying a pair of sunglasses, someone performed an action that brought you closer to completing your goal.
2. CTR is the number of clicks on links within your email that take potential customers to a landing page. It could be a button, picture, or text,but the important thing is someone clicked-on something that was meant to be clicked on.