SIR Model

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• T-tests: T-tests are a type of hypothesis test used in statistics to determine if there is a significant difference between the means of two groups. The test is based on the t-distribution and requires that the data be normally distributed. There ar ... Read More >>
• Gradient-based Methods: Gradient-based methods are optimization algorithms used in machine learning and data science to find the minimum of a cost function by iteratively adjusting the parameters of a model. These methods use the gradient of the cost function with ... Read More >>
• Brute Force: Brute Force is a method of solving problems by trying every possible solution until the correct one is found. In Data Science, Brute Force is often used in the context of optimization problems, where the goal is to find the best solution am ... Read More >>