Complete Machine Learning with R Studio Free Online Udemy Course

2 weeks ago

Original Price : Free Course Discount : 100% OFF Final Price : Free Course

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Complete Machine Learning with R Studio - ML for 2021- Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

  • Click Here to Join This Udemy Course. Use COupon COde "FREEAPR21" to get this course for free. offer valid for limited time. 

Machine Learning Specialization Free Tutorial Certification Course. Learn Python, NumPy, Pandas, scikit-learn, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow, Convolutional & Recurrent Neural Networks, Autoencoders, Reinforcement Learning From Industry Experts 

  • Certification Course on Machine Learning Specialization- CLICK HERE

  • Certification Course on Python for Machine LearningCLICK HERE

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What is Machine Learning?

Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Benefits of Machine Learning-  Most of the domains that were considered specializations are now being merged into Machine Learning. This has happened because of the following:

  • Better research and algorithms
  • Better computing resources
  • Distributed computing infrastructures
  • Availablity of Big Data

Key Features of this Machine Learning Course

3 courses
  • Python for Machine Learning
  • Machine Learning
  • Deep Learning
Cloud Lab
  • Apply the skills you learn on a distributed cluster to solve real-world problems.
  • Highlight your new skills on your resume or LinkedIn.
  • Work on 18+ projects to get hands-on experience.
Best-in-class Support
  • Timely Doubt Resolution through the Discussion Forum with the help of international community of peers

This specialization is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. After finishing this specialization, you will find creative ways to apply your learnings to your work. For example

  • You would like to build a robot which can recognize faces or change the path after discovering obstacles on the path.
  • Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports or e-commerce transactions reports).

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