The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.
One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.
I need you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.
20 freelancers are bidding on average $116 for this job
Hello, I'm a professional Python programmer interested in this project. If you hire me, you deal with me directly, no middleman, no outsourced project. Regards,
I am a data scientist and have experience with machine learning and statistical analysis of data using R and Python. I can help you with Titanic Survival Analysis. I would like to help you with your project.
I have worked on similar project before and was able to deliver fast. Proficient in using Machine Learning Algorithms and predictive models. Good Analytical skill combined with honesty makes me a preferred candidate.
Hello, I would implement a Tensorflow model for this task. The DNN linear combined classifier has already shown great predictive capability, I would work to enhance. Thanks Frank Vigilante
I have an one year experience in machine learning. I'm newbie here,so want to collect recommendation. I'm also excitingabout the resulta of this problem.