In classification tasks, several evaluation metrics are commonly used, including Accuracy, Precision, Recall, and F1 Score. These metrics are based on the Confusion Matrix, which forms the foundati...
Finding the closest Datetime in a DataFrame with Python
Finding the Closest Datetime in a DataFrame with Python When working with datetime objects in Python, you may sometimes need to find the closest match to a specific target datetime in your DataFra...
What is Bagging and Boosting?
Bagging and Boosting are two popular ensemble learning techniques used in MachineLearning to improve the performance of models by combining multiple weaker models (often called weak learners) to cr...
A Comprehensive Approach to Comparing Two Independent Groups Statistically_When to Use t-Tests and Mann-Whitney U Tests
When you want to see if there’s a significant difference between 2 datasets, we use statistics. First, check if your data follows a normal distribution. For this part, you can perform a Shapiro...
Difference between Sequential Models and Functional Models in Tensorflow
Sequential API stacked layer-by-layer PROS Basic, Simple, very easy to create Good for beginners CONS It does not allows you to create models that share layers does not allows you to h...