ML in Data Analysis

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Gain proficiency in predictive modeling through machine learning techniques, building on prerequisite knowledge from Course 3, and covering supplementary concepts to develop practical skills in addressing research inquiries.

Key AI Functions:Data Analysis, Python Programming, Machine Learning, Exploratory Data Analysis

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Description for ML in Data Analysis

Introduction to Predictive Modeling: Investigate the process of predicting future outcomes using data through machine learning techniques.

Prerequisite Knowledge: Prior to exploring advanced machine learning topics, it is imperative to be acquainted with the concepts from Course 3 of the specialization.

Comprehensive Examination: Cover supplementary concepts, techniques, and algorithms in machine learning, including classification, decision trees, and clustering.

Practical Skills: Develop the capacity to effectively address research inquiries by employing, testing, and interpreting machine learning algorithms.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by Wesleyan University

Duration: 10 hours (approximately)

Schedule: Flexible

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