This course intends to give you a basic understanding of machine learning and its different algorithms. During this course, you will learn about Machine Learning algorithms such as Support Vector Machines, Logi
such as machine learning calculus, probability, statistics, and linear algebra. It is for beginners who want to specialize in these topics and prepare for a career as a data professional. Understand the math behind machine learning algorithms. Employers...
TheMachine Learning A-Z: AI, Python & R + ChatGPT Prizeis an online course offered on Udemy. In this course, you’ll learn to create machine learning algorithms using Python andR. Designed by a data science expert and a machine learning expert, this course covers a wide range of topics ...
Logistic regression, k-nearest neighbour, random forest and XGBoost machine learning algorithms were applied in different ways to the dataset gotten from Kaggle in order to decide the best algorithm to suggest to the company for customer attrition prediction. Results showed that the logistic regression...
Machine learning involves studying computer algorithms that improve automatically through experience. It is a sub-field of artificial intelligence where machine learning algorithms build models based on sample (or training) data. Once a predictive model is constructed it can be used to make predictions...
Close to 200,000 students have attended this Machine Learning trainingso far with a high rating of 4.5 out of 5! Trainers Kirill Eremenko and Hadelin de Ponteves along with their Super DataScience Team has put together this brilliant program to help you create Machine Learning Algorithms in Py...
https://machinelearningmastery.com/evaluate-machine-learning-algorithms-with-r/ https://machinelearningmastery.com/compare-models-and-select-the-best-using-the-caret-r-package/ This is indeed a complete new universe! On the caret website there are 233 Models available: https://topepo.github.io...
machine learning algorithms. Also, you will be directed step by step to create your own models from scratch. At the end of the book, you will garner a comprehensive picture of the machine learning ecosystem and the best approaches to using machine learning techniques. With the help of this ...
Another beginner course, but this one focuses solely on the most fundamental machine learning algorithms. The instructor, slide animations, and explanation of the algorithms combine very nicely to give you an intuitive feel for the basics. This course uses Python and is somewhat lighter on the mat...
Real world sklearn datasets are based on real-world problems, commonly used to practice and experiment with machine learning algorithms and techniques using the sklearn library in Python. 7.Boston Housing The Boston Housing dataset consists of information on housing in the area of Boston, Massachuse...