Python_Learning_Practice_Notebook

Jupyter notebooks for practicing Python data analysis and visualization with Matplotlib, NumPy, Pandas, SciPy, and Seaborn.

Demo 🎉

Loading_The_MNIST_Dataset.mp4

Playing_With_Numpy_Library.mp4

NumPy_Exercises_From_Udemy_Course.mp4

Playing_With_Pandas_Library.mp4

Pandas_Exercises_From_Udemy_Course.mp4

Playing_With_Scipy_Library.mp4

Playing_With_Matplotlib_Library.mp4

Playing_With_Seaborn_Library.mp4

Training_a_Digit_Recognition_Model_Using_Keras_on_the_MNIST_Dataset.mp4

Training_a_Recognition_Model_Using_Keras_on_the_CIFAR_10_Dataset.mp4

Training_a_Convolution_Dense_Layer_With_Recognition_Model_Using_Keras_on_the_CIFAR_10_Dataset.mp4

How_to_Define_Functional_And_Sequential_Keras_Models.mp4

Training_a_Digit_Recognition_Model_Using_Pytorch_Library_on_the_MNIST_Dataset.mp4