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16 w - Translate

Which visualization tools are most useful for EDA?

Exploratory Data Analysis is an important step in data science. It allows analysts and scientists with summary statistics and graphic representations to better understand patterns, detect anomalies and test hypotheses. Visualization is a key component of EDA, as it converts complex data relationships into visually understandable formats. Many visualization tools have been widely recognized as effective in EDA. They offer different functionality, ease-of-use, and integration abilities. https://www.sevenmentor.com/da....ta-science-course-in

Matplotlib is a Python library which provides a wide range of static plots, animated plots, and interactive ones. It is a great foundation for other visualization libraries. It's highly customizable and can be used to create anything from simple bar graphs to complex multi-plots. Matplotlib is a powerful tool, but its steep learning curve comes from the detailed coding required to format and design.

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Gurpreet555
30 w - Translate

How does decision tree pruning help in reducing overfitting?

In machine learning, decision tree pruning is an important technique that reduces overfitting while improving the model's ability to generalize new data. Overfitting is when a decision-tree captures noise from the training dataset and becomes too complex. It also becomes highly specific to that data. Unpruned trees may achieve 100% accuracy in the training data, but perform poorly when compared to unseen data. By simplifying the structure of the tree, pruning can address this problem. Data Science Course in Pune

There are two types of pruning, pre-pruning or post-pruning. Pre-pruning (also known as early stopping) involves setting limits on the growth of the tree during training. These constraints can include limiting tree depth, defining the minimum number of split samples, or defining an information gain threshold. Pre-pruning can prevent excessive branching by limiting the growth of trees. This can reduce overfitting. Pre-pruning can have a downside, however, as it may stop the tree too soon, missing important patterns.
https://www.sevenmentor.com/da....ta-science-course-in

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