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Udemy Machine Learning Courses & Certifications

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Machine Learning & Deep Learning in Python & R

The Machine Learning & Deep Learning in Python & R certification course was created by Start-Tech Academy and is available on Udemy for candidates searching for a comprehensive machine learning and deep learning training program that will help them start a successful career in the fields of data science, deep learning, machine learning, Python, or R programming. The Machine Learning & Deep Learning in Python & R online course provides the methodologies for creating predictive models in R programming and Python to address business challenges and establish a business strategy.

Machine Learning & Deep Learning in Python & R online classes by Udemy contains 33 hours of HD video lectures as well as 5 articles covering subjects such as decision trees, KNN logistic regression, random forest, SVM, linear discriminant analysis, data collecting, and data preprocessing. This course also includes a portion that discusses all of the actions that should be taken when solving a business problem using a linear regression model.

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4,099
Skills Covered:
Knowledge of Python R Programming Machine learning Knowledge of deep learning

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Machine Learning & Deep Learning in 30hrs

Machine Learning & Deep Learning in 31.5hrs online certifications is developed by Mario Favaits - Certified AI Professional & Trainer and is offered by Udemy which is designed for those who want to learn the fundamentals of machine learning and deep learning to become certified data scientists. The Machine Learning & Deep Learning in 30hrs online course by Udemy takes a practical approach, using a logical sequence to help participants understand data science and machine learning principles effectively.

As no prior knowledge of coding is required, the Machine Learning & Deep Learning in 30hrs online classes begin with the fundamentals of linear algebra, calculus, and statistics. This course aims to give students a thorough understanding of topics such as artificial intelligence, machine learning, unsupervised learning, neural networks, computer vision, data augmentation, backpropagation, and random forest, as well as various data science tools such as Python, Pandas, Keras, and Colab.

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799
Skills Covered:
Machine learning Data science knowledge Knowledge of deep learning

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