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2018-06-29 13:26
Data science requires a solid understanding of tidy data principles. A good data scientist can recognize the difference between tidy and untidy data. It takes a bit of practice, but followin… Read More
2018-06-19 05:29
A data wrangling cheat sheet for python data-scientists starts with an initial exploratory analysis. This is the crucial first step in data cleaning. Just like an experienced chess player&rs&hell…Read More
2018-05-08 19:26
A Simple Linear Regression Example can help reinforce the intuition of simple linear regression models. Consider an example of salary vs. years of experience. This is a good example to start… Read More
2018-04-25 16:36
The Confusion Matrix in data mining is used to explain Type I and a Type II errors from your results. These results are also referred to as false positives and false negatives. A false posit… Read More
2018-04-17 22:38
The KNN Classifier Algorithm (K-Nearest Neighbor) is straight forward and not difficult to understand. Assume you have a dataset and have already identified two categories of data from the s… Read More
2018-04-11 23:31
A Logistic Regression Model is made from statistical analysis in which there are one or more independent variables that determine a binary outcome. For example, a company sends out mailers t… Read More

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