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Udemy - Python For Machine Learning Bootcamp
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Learn to create Machine Learning Algorithms in Python from Zero to Hero What you'll learn Become a professional Python Developer and get hired Master modern Python 3 fundamentals as well as advanced topics Learn Object Oriented Programming Learn Machine Learning with Python Learn Function Programming Create data visualizations using matplotlib and the seaborn modules with python. Use the pandas module with Python to create and structure data. Use the Jupyter Notebook Environment. Use the numpy library to create and manipulate arrays. Build an army of powerful Machine Learning models and know how to combine them to solve any problem Make powerful analysis
Requirements Have a computer (either Mac, Windows, or Linux) No prior knowledge of Python is required. No previous programming experience is needed.
Description Interested in the field of Machine Learning ? Then this course is for you ! This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way: 01 - Python basic 02 - Object-Oriented Programming 03 - Numpy 04 - Matplotlib 05 - Panda 06 - Data Visualization - Plotly and Cufflinks 07 - Data Visualization in Pandas 08 - Seaborn 09 - In troduction to Machine Learning 10 - Linear Regression 11 - Logistic Regression Titanic Dataset 12 - KNN algorithm 13 -SVM 14 - Decision Tree Classifier and Regressor 15 - Random Forest Classifier and Regressor 16 - K-Mean Clustering 17 - Principal Component Analysis (PCA) 18 - Ensemble Learning 19 - Learning Curve 20 - Python Interview Questions Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. And as a bonus, this course includes Python code templates which you can download and use on your own projects.
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