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Created 3 years ago
Random Forest on Titanic Dataset
Table of Contents
- Problem Statement
- Data Loading and Description
- Preprocessing
- Random Forest
- 4.1 Introduction to Random Forest
- 4.2 Real Life Analogy
- 4.3 Wisdom of Crowd
- 4.4 Concept behind random forest
- 4.4.1 Random Sampling
- 4.4.2 Random Subsets of Features
- 4.4.1 Random Sampling
- 4.5 Advantages and Disadvantages
- 4.6 Use Cases
- 4.7 Preparing X and y using pandas
- 4.8 Splitting X and y into training and test datasets.
- 4.9 Random Forest in scikit-learn
- 4.10 Using the Model for Prediction
- 4.1 Introduction to Random Forest
- Model evaluation
- Random forest with RandomizedsearchCV
1. Problem Statement
The goal is to predict survival of passengers travelling in RMS Titanic using Logistic regression.