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Learn Classification Models, earn certificates with paid and free online courses from Harvard, CU Boulder, IIM Bangalore, Dartmouth and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to build, evaluate, and optimize regression and classification models using MATLAB. Apply supervised machine learning workflows to real-world datasets and improve model performance through feature selection and hyperparameter tuning.
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Learn how predictive analytics can be used to achieve business goals, drive decision-making, and develop customized strategies with IE University.
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.
Learn the basics of practical machine learning methods for classification problems.
Master machine learning with Python for business applications, from basic concepts to advanced techniques like regression, classification, clustering, and time series forecasting for improved decision-making.
Develop advanced analytics skills using Alteryx and Tableau to solve real-world business problems, prepare for Business Analyst roles, and make data-driven decisions.
Microsoft Azure AI Fundamentals: Explore visual tools for machine learning
Gain insights into predictive analytics with Python, learning to build models, diagnose performance issues, leverage advanced techniques like neural networks, and integrate data-driven insights into decision-making for digital transformation.
Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python
Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R
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