Machine Learning Free Course: Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. It is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
This premium course will teach Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio. The details to enroll in this free course have been discussed below.
Machine Learning Free Course:
What all is needed to enroll in this course:
- Availability computer and internet & strong interest in the topic
What all this course make you learn:
- Your complete guide to unsupervised & supervised machine learning and predictive modeling using R-programming language
- It covers both theoretical background of MACHINE LERANING & and predictive modeling as well as practical examples in R and R-Studio
- Fully understand the basics of Machine Learning, Cluster Analysis & Predictive Modelling
- Highly practical data science examples related to supervised machine learning, clustering & prediction modelling in R
- Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
- Be Able To Harness The Power of R For Practical Data Science
- Compare different different machine learning algorithms for regression & classification modelling
- Apply statistical and machine learning based regression & classification models to real data
- Build machine learning based regression & classification models and test their robustness in R
- Learn when and how machine learning & predictive models should be correctly applied
- Test your skills with multiple coding exercices and final project that you will ommplement independently
- Implement Machine Learning Techniques/Classification Such As Random Forests, SVM etc in R
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Who all can enroll in this course:
- The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R in their field.
- Everyone who would like to learn Data Science Applications In The R & R Studio Environment
- Everyone who would like to learn theory and implementation of Unsupervised Learning On Real-World Data
THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF MACHINE LEARNING: BOTH THEORY & PRACTISE
- Fully understand the basics of Machine Learning, Cluster Analysis & Prediction Models from theory to practice
- Harness applications of supervised machine learning (classification and regressions) and Unsupervised machine learning (cluster analysis) in R
- Learn how to apply correctly prediction models and test them in R
- Complete programming & data science tasks in an independent project on Supervised Machine Learning in R
- Implement Unsupervised Clustering Techniques (k-means Clustering and Hierarchical Clustering etc)
- Learn the basics of R-programming
- Get a copy of all scripts used in the course
- and MORE
This course includes the following:
- 6.5 hours on-demand video
- 20 downloadable resources
- 4 coding exercises
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
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How to Enroll For Free Machine Learning Course?
To enroll for Free Machine Learning Course you may sign up on Udemy.com and then they must log in there. Kindly put the coupon code mentioned below to avail this course for free.
- Sign Up on Udemy.com
- To Join this course : Click Here
Apply Coupon Code: BE26B303F20802D41DC4
**Note: Free coupon/offer may expire soon.**
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