Data Mining, Data Science, Python, Apache Spark, Kaggle.
which makes it handy for data extraction and cleaning. Some of the most commonly used libraries are: pandas NumPy scikit-learn TensorFlow PyTorch Libraries like pandas and NumPy are useful in preprocessing and cleaning data, handling tasks like null value replacement, outlier handling, and feature