What will you learn in this course?

Develop machine learning models using Python libraries like scikit-learn, TensorFlow, and Keras for real-world data analysis
Implement data preprocessing, feature engineering, and model evaluation techniques to improve machine learning accuracy in Python
Build and optimize deep learning neural networks with Python for tasks such as image recognition and natural language processing

Apply Python coding skills to develop scalable machine learning solutions for diverse industry applications
Utilize Python tools to visualize data, model performance, and insights for effective communication of machine learning results
Troubleshoot and fine-tune machine learning models in Python to enhance performance and reliability in practical scenarios

How to Get The Certificate

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Lessons | 6

00:02:21

Building Predictive Models with Machine Learning and Python The Course Overview | packtpub com

00:10:29

Build Predictive Models with Machine Learning Python Exploring Your First Dataset | packtpub com

00:10:49

Build Predictive Models with Machine Learning Python Finding Issues with Your Data | packtpub com

00:08:17

Build Predictive Models with Machine Learn Python What Makes Models Truly Different |packtpub com

00:04:42

Build Predictive Models with Machine Learn Python What Does it Mean to Tune Model |packtpub com

00:14:24

Build Predictive Models with Machine Learn Python Adv Libraries for Machine Learn|packtpub com

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