Useful python Libraries for Machine Learning Projects #3

1.Keras Keras is a one of the excellent Python libraries for machine learning. It makes expressing neural networks easier along with providing some of the best utilities for compiling models, processing data-sets, visualization of graphs and more. 2.Numpy Numpy is another popular machine learning python library. It is easy to used, interactive and quite intuitive. It makes complex mathematical implementations very simple. Numpy can be used for expressing images and sound waves and other binary raw streams in the form of an array of real numbers in 1 N – dimension. 3.TensorFlow Tensor flow is an open source Python Library Developed by Google and collaboration with Brain Team. Tensor Flow is used for writing new algorithms that include a large number of tensor operations. As neural network can be easily expressed as computational graph, they can be implemented as a series of operations. 4.Scikit – Learn skit – Learn...