Project - Predicting Titanic Passenger Survival using Machine Learning and Python

Project - Predicting Titanic Passenger Survival using Machine Learning and Python

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7 Concepts | 2 Questions | 12 Assessments | 1,046 Learners

Welcome to this project on the Titanic Machine Learning Project with Support Vector Machine Classifier and Random Forests using scikit-learn. In this project, you will use Python and scikit-learn to build SVC and random forest, and apply them to predict the survival rate of Titanic passengers.

Data preprocessing is one of the most prominent steps to make an effective prediction model in Machine Learning, and it is often a best practice to use data preprocessing pipelines. In this exercise, you will also learn how to build your custom data transformers and chain all these data pre-processing steps using scikit-learn pipelines.

Skills you will develop:

  1. Data Preprocessing Pipelines
  2. Data Transforming
  3. Python Programming
  4. Pandas
  5. Predictive modeling
  6. Machine Learning
  7. Scikit-learn
Attempted by

Utkarsh
Rajeev Kumar
Nigel
Mohammad

and 1,042 more

This topic is part of below listed courses -

Machine Learning Specialization (Includes Deep Learning) | Machine Learning | Certificate Course Artificial Intelligence Deep Learning IIT Roorkee | Data Science Specialization | MLOps Certification Training | Post Graduate certification in Applied Data Science and AI, IIT Roorkee | PG Certificate Program in Data Science & AI By CEC, IIT Roorkee

Instructor:

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