Machine Learning Techniques and Implementation of Different ML Algorithms

Machine learning (ML) is a type of study that allows system how to perform operation by providing multiple examples of how they should be done. ML is used to allow that how we build our computer programs that helps in automatic improvement with their past experiences. In today’s time Machine Learning plays a vital role in many fields like medical, gaming, robotics and many more industries. By using ML algorithm, we can generate many prediction models which helps in providing better solution in many fields. We can predict result in very less time and also, we can improve our result by improving our prediction models. Machine Learning is used for solving many problems. In data mining it became an essential technique for solving problems in areas. In future Machine Learning could be an essential part in every industry as it is vastly used in many industries. Machine Learning is a method which helps in predicting the future or categorized data to help people in making essential decisions. Machine Learning uses advance models-based algorithm for prediction. These models include predictive models and neural network-based models that are uses for systems to take necessary decisions. Machine Learning is usable in many industries like sales and marketing, medical sector, healthcare diagnosis, manufacturing, finance, and several other fields. In today’s era Machine Learning plays a vital role in modern industry to make our system more intelligent.