Machine Learning (ML) Apriori Associative Learning Algorithm Apriori is a associative learning algorithm which is generally used in data mining. It follows the principle that people who bought this will also buy this.
Machine Learning (ML) Latent Dirichlet Allocation (LDA) Latent Dirichlet Allocation (LDA) is used as a topic modelling technique that is it can classify text in a document to a particular topic. It uses Dirichlet distribution to find topics for each document model
Machine Learning (ML) Text Generation using LSTM LSTM are a perfect fit for text generation as text are a sequence of words and can predict the next word. We have explained the basic idea and developed a demo for it
Machine Learning (ML) Gradient Boosting Gradient Boosting is a machine learning algorithms used to predict variable (dependent variable). It is used in regression and classification problem.
Machine Learning (ML) Grid Search Grid Search is a machine learning tool which is used to tune the hyperparametres of various machine learning algorithms like decision tree and SVM
Machine Learning (ML) Learn to use TPOT: An AutoML Tool TPOT stands for Tree Base Pipeline Optimization Tool. It is used to solve or give a idea on machine learning problems. It helps us to explore some of pipeline confiuration that we did not consider earlier for our model.
