2018-07-11 15:01
To split a column in your data frame is necessary when multiple variable values are contained in a single column. Data usually does not come all tidy like we want it. In cases where a single… Read More
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dataframe
regression
regression models
confusion
cheat sheet
python scatter plot
knn classifier
tidy
linear regression
scatter plot
This site is an extensive collection of posts regarding modern topics in web development, programming, and web services.
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
2018-06-06 00:34
Python function arguments are variables that get passed during the function call. Sometimes, the argument can have a default value. This is useful if no argument value is passed during… Read More
2018-05-31 16:37
A Python scatter plot example can be used as a reference to build another plot, or to remind us about the proper syntax. Python scatter plots example often use the Matplotlib library because… 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
2018-04-03 15:51
The R Squared value is a useful parameter for interpreting statistical results. However, it is often used without a clear understanding of its underlying principles. The ordinary least squar… Read More
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