Machine Learning & Data Science A-Z: Hands-on Python 2021
Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python
What you’ll learn
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Understanding the basic concepts
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Complete tutorial about basic packages like Numpy and Pandas
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Data Visualization
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Data Preprocessing
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Understanding the concept behind the algorithms
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Developing different kinds of Machine Learning models
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Knowing how to optimize your models’ hyperparameters
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Learn how to develop models based on the requirement of your future business
Requirements
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Python’s basic syntax
Who this course is for:
- Anyone with any background that interested in Data Science and Machine Learning with at least high school knowledge in mathematic
- Beginners, intermediate and even advanced students in the field of artificial intelligence, Data Science and Machine Learning
- Students in college that looking for securing their future jobs
- Employees that look forward to excel their job level by learning machine learning
- Anyone who afraid of coding in Python but interested in Machine Learning Concepts
- Any one who wants to create a new business using machine learning
- Graduate students and researchers that want to apply machine learning models in their thesis and projects
