![]() So we will look at various ways to transform and augment the image data. I will be talking specifically about image data augmentation in this article. We do not collect new data, rather we transform the already present data. Regression and Classification | Supervised Machine LearningÄata augmentation is the process of increasing the amount and diversity of data. ![]() ML | Label Encoding of datasets in Python.ML | One Hot Encoding to treat Categorical data parameters.Introduction to Hill Climbing | Artificial Intelligence.Best Python libraries for Machine Learning.Activation functions in Neural Networks.Elbow Method for optimal value of k in KMeans.Decision Tree Introduction with example.Linear Regression (Python Implementation).Removing stop words with NLTK in Python. ![]()
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