courseraАнализ данных

Titanic Survival Prediction Using Machine Learning

Курс от Coursera

Начальный≈ 2 чАнглийский

О курсе

In this 1-hour long project-based course, we will predict titanic survivors’ using logistic regression and naïve bayes classifiers. The sinking of the Titanic is one of the key sad tragedies in history and it took place on April 15th, 1912. The numbers of survivors were low due to lack of lifeboats for all passengers. This practical guided project, we will analyze what sorts of people were likely to survive this tragedy with the power of machine learning. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Навыки, которые вы освоите

Machine Learning Model Training Model Evaluation Data Processing Supervised Learning Applied Machine Learning Scikit Learn (Machine Learning Library)Machine Learning Methods Data Preprocessing Data Visualization Feature Engineering Data Cleansing Statistical Machine Learning Classification Algorithms Data Science Logistic Regression Python Programming Predictive Modeling

Программа курса

1 модулей · 4 учебных материалов

01Project Overview4 материалов

Your Learning Journey

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)