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Titanic Survivor Analysis and Prediction

Jupyter Notebook 100.00%
python titanic-kaggle logistic-regression knn-classifier random-forest-classifier decision-tree-classifier support-vector-classifier cross-validation-score exploratory-data-analysis data-preprocessing

titanic's Introduction

Titanic

Titanic Survivor Analysis and Prediction

Project is Part of Titanic: Machine Learning from Disaster (Prediction Competition on Kaggle)

Data Set : Titanic: Machine Learning from Disaster

Predict survival on the Titanic and get familiar with Machine Learning Basics


This Project covers various Important Concepts in Machine Learning.

Libraries

  1. Pandas

  2. Numpy

  3. Matplotlib

  4. Seaborn

  5. Scikit Learn


Machine Learning Algorithms

  1. Logistic Regression Classifier

  2. K Nearest Neighbors Classifier

  3. Decision Tree Classifier

  4. Random Forest Classifier

  5. Support Vector Classifier

Model Selection for Data Evaluation : Cross Validation Score


Flow of Notebook

  1. Exploratory Data Analysis

  2. Data Preprocessing (Label Encoder, Simple Imputer and Standard Scaler is also Explained)

  3. Data Modelling

  4. Data Evaluation


titanic's People

Contributors

iamkirankumaryadav avatar

Watchers

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