Online Courses Udemy Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn Created by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, Mitchell Bouchard, SuperDataScience Team English [Auto-generated], Indonesian [Auto-generated] Students also bought [2020] Deploying Machine Learning Models - A Complete Guide Machine Learning applied to manufacturing processing Scala and Spark for Big Data and Machine Learning Machine Learning A-Z: Become Kaggle Master Machine Learning and AI: Support Vector Machines in Python Preview this course GET COUPON CODE Description Are you ready to master Machine Learning techniques and Kick-off your career as a Data Scientist?! You came to the right place! Machine Learning skill is one of the top skills to acquire in 2019 with an average salary of over $114,000 in the United States according to PayScale! The total number of ML jobs over the past two years has grown around 600 percent and expected to grow even more by 2020. This course provides students with knowledge, hands-on experience of state-of-the-art machine learning classification techniques such as Logistic Regression Decision Trees Random Forest Naïve Bayes Support Vector Machines (SVM) In this course, we are going to provide students with knowledge of key aspects of state-of-the-art classification techniques.

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