For those of you who have coding experience in a language besides Python, just skim through this tutorial for syntax - it won't take you more than a day:https://www.tutorialspoint.com/python/python_basic_syntax.htm Now, after you've learnt the basics of Python, you need to understand t...
It is common to get different results each time the same algorithms is run on the same data, consider using the experiment interface instead and taking the average score over multiple runs. https://machinelearningmastery.com/randomness-in-machine-learning/ Reply Tadele DebisaNovember 24, 2017 at...
TheDatumboxMachine Learning Framework is an open-source framework written in Java which allows the rapid development Machine Learning and Statistical applications. The main focus of the framework is to include a large number of machine learning algorithms & statistical tests and being able to handle m...
So our model hashigh accuracy (80.4%)andhigh specificity (89.9%)butlowsensitivity (53.7%), and we are interested in identifying the customers who might churn, so we need to deal with this. But what was the cause of such low sensitivity? If we remember, while predicting the mod...
Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns ou
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The Deep Reinforcement Learning (DRL) combines the techniques of both deep and reinforcement learning. The reinforcement learning algorithms like Q-learning are now combined with deep learning to create a powerful DRL model. The technique has been with a great success in the fields of robotics, ...
You can also check this in detailed video lecture athttps://www.tutorialspoint.com/python_essentials_online_training/getting_started_with_anaconda.asp.Why Python for Data Science?Python is the fifth most important language as well as most popular language for Machine learning and data science. The...
Clustering in Machine Learning - In machine learning, clustering is a fundamental method that is crucial for extracting knowledge from datasets and spotting hidden patterns. Clustering techniques let us search through massive volumes of data and find sig
Machine learning may also be used to identify some types of diseases. Breast cancer, heart failure, Alzheimer's disease, and pneumonia are some examples of such diseases that can be identified using machine learning algorithms. These are just a few examples of the many applications of machine le...