Predicting the future events has always been a beneficial process. However, on most occasions this turns out to be nothing more reliable than a crystal ball. However, this has greatly changed today with the advent of Artificial Intelligence and Machine Learning (AI/ML).
The integration of latest software techniques, statistical knowledge base and very high computation power of computers have made Machine Learning a very feasible alternative to crystal ball.
Some of the technologies that we are familiar with include, Python, Jupyter Notebook, Sklearn, Matplotlib, MySql, Hadoop, NoSql, etc.
The machine learning techniques applied were Linear Regression, Logistic Regression, K Means Clustering, K Nearest Neighbor (KNN), Random Forest, Reinforcement Learning, Naïve Bayes Classifier, Support Vector Machine, etc.