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Learn Data Preprocessing, earn certificates with free online courses from Johns Hopkins, UC San Diego, Georgia Tech, University of Illinois and other top universities around the world. Read reviews to decide if a class is right for you.
Explore GenAI's impact on data analysis, learning practical strategies to integrate AI tools into preprocessing, pattern recognition, predictive analytics, and report generation for enhanced productivity.
Master data preparation techniques for machine learning using H2O's Driverless AI, covering tabular formats, time series analysis, and automated preprocessing for both supervised and unsupervised learning scenarios.
Master automated machine learning with H2O Driverless AI through hands-on training in data preprocessing, model development, and advanced features like custom recipe creation and hyperparameter tuning.
Unraveling the mysteries of Data Mining and Big Data, this course is a must-have for any budding Data Scientist. 最有趣的理论+最有用的算法=不得不学的数据科学。
Learn the basics of practical machine learning methods for classification problems.
Comprehensive program covering data preprocessing, visualization, SQL/NoSQL databases, and machine learning techniques. Offers practical skills in Excel, Python, and MS Azure for both beginners and experienced coders.
Comprehensive introduction to Natural Language Processing, covering key concepts, techniques, and applications using Python, with hands-on projects in sentiment analysis and chatbot development.
Handle missing values, non-numeric values, data leakage, and more.
Learn essential machine learning concepts and techniques for coders, covering fundamental principles and practical applications across 12 comprehensive lessons.
Learn to create a GPT-2 model for Python code generation, covering data acquisition, cleaning, preprocessing, tokenization, training, and testing.
Learn the basics of machine learning and how you can create a machine learning model with Python.
Comprehensive introduction to data science fundamentals, covering analysis techniques, tools, and ethical considerations. Includes hands-on Python exercises for practical application of concepts.
Comprehensive Python-based program covering data science fundamentals, statistical concepts, and machine learning techniques, with hands-on projects for practical application.
Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.
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