Bilal Y.

My interests are in machine learning, computer vision, natural language processing, unsupervised learning, and deep learning. I have studied many important topics in ML and Computer Vision, but the topics that I have covered theoretically and practically are: linear regression and logistic regression, distribution fitting, neural network and backpropagation algorithm, deep learning(RNN LSTM time series) and unsupervised feature learning, autoencoders, convolution neural network (ConvNet), dropout regularization technique, K means, linear SVM, Gaussian mixture model and Gaussian process. Research: Currently I am doing research on DeepFakes and Adversarial Machine Learning in IHSAN lab Information Technology University, Punjab I have experience of these Python Libraries: Numpy, Pandas, Schikit-Learn, Matplotlib, Opencv, TensorFlow, Pytorch, and many more. It's very important to me to build long term relationships with clients, so I'm primarily looking for long term projects. less