1. Regression & Classification Linear Multivariate Linear Logistic Softmax Vectorization Gradient Calculation Stochastic Gradient Descent (SGD) Optimizers and Objectives 2. Regularization Ridge regression 3. Clustering k – Means EM Algorithms 4. Unsupervised Learning Autoencoders PCA Whitening sparse coding 5. Neural Network Perceptrons Backpropagation Restricted Boltzmann Machines Learning Vector Quantization 6. Deep Learning Stacked Autoencoders Convolution […]

To carry out an impactful Analysis you need a dataset of your choice in some scenario you need a dataset related to finance to carry out financial Analysis, in another scenario you need dataset related to words to carry out sentiment analysis or topic modelling, so there would be multiple scenarios. So the same situation […]