Data Science: ML

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Learn the fundamental machine learning techniques, such as regularization, algorithms, and cross-validation, as you construct a recommendation system.

Key AI Functions:data science, machine learning, speech recognition, machine learning algorithms, principal component analysis, algorithms, recommender systems, forecasting

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Description for Data Science: ML

Fundamentals of Machine Learning: Acquire a basic comprehension of the principles and algorithms of machine learning.
Cross-validation: Acquire the knowledge necessary to conduct cross-validation in order to prevent overtraining and guarantee the accuracy of the model.
Machine Learning Algorithms: Investigate the most prevalent machine learning algorithms employed in predictive modeling and recommendation systems.
Developing Recommendation Systems: Discover the process of creating a recommendation system that utilizes machine learning techniques and data.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 13

Offered by: On edX

Duration: 2�4 hours per week approx 8 weeks

Schedule: Flexible

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