'Titanic disaster' presentation slideshows

REMEMBERING THE TITANIC

REMEMBERING THE TITANIC.

318 views • 31 slides

REMEMBERING THE TITANIC

REMEMBERING THE TITANIC.

340 views • 31 slides

Exposition

Exposition . A Night to Remember by Walter Lord. Multiple Perspectives. Describe (in writing) a time when you viewed an event differently from others. What did you learn from that experience? When you finish your written answer, share it with a partner.

613 views • 29 slides

Why Project Based Learning?

202 views • 19 slides

THE TITANIC A Multidimensional Project

THE TITANIC A Multidimensional Project. Quincy Cook and Cathy Walker 7 th Grade Teachers Narrows View Intermediate School University Place, Washington. OBJECTIVES. Gather, sort, and synthesize information Design a brochure promoting travel on the Titanic

330 views • 14 slides

Titanic Orphans: A Tale of Survival

Brothers Michel Navratil, 4, and Edmond, 2, were placed onto one of the last lifeboats by their father before the disastrous sinking of the Titanic. Their father did not make it off the doomed vessel, making the two youngsters the only parent-less children aboard the ship. Referred to as 'Louis and Lola' in newspaper articles, their mother was eventually located and reunited with her children one month after the catastrophe.

403 views • 12 slides

The Titanic Disaster by Paige

The Titanic Disaster by Paige. Contents. Construction. Facilities Onboard. Maiden Voyage. Iceberg Collision. The Sinking. Survivors. Construction. 8 people had already died before the Titanic hit the iceberg. 1 of which was a 15 year old boy who had fell off a ladder.

312 views • 8 slides

Analyzing Titanic Disaster using Machine Learning Algorithms

Titanic disaster occurred 100 years ago on April 15, 1912, killing about 1500 passengers and crew members. The fateful incidents still compel the researchers and analysts to understand what could have led to the survival of some passengers and demise of the others. With the use of machine learning methods and a dataset consisting of 891 rows in the train set and 418 rows in the test set, we attempt to determine the correlation between factors such as age, sex, passenger class, fare etc. to the chance of survival of the passengers. These factors may or may not have impacted the survival rates of the passengers. In this research paper, we use various machine learning algorithms namely Logistic Regression, Nau00c3u00afve Bayes, Decision Tree, Random Forest to predict the survival of passengers. In particular, we attempt to compare these algorithms. Dr. Prabha Shreeraj Nair "Analyzing Titanic Disaster using Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: https://www.ijtsrd.com/papers/ijtsrd7003.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/7003/analyzing-titanic-disaster-using-machine-learning-algorithms/dr-prabha-shreeraj-nair

174 views • 7 slides