Logistic-Regression-from-scratch

This is the legendary Titanic dataset– the best, first challenge for you to dive into ML competitions and familiarize yourself

use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

Train.csv will contain the details of a subset of the passengers on board (891 to be exact) and importantly, will reveal whether they survived or not, also known as the “ground truth”

test.csv` dataset contains similar information but does not disclose the “ground truth” for each passenger. It’s your job to predict these outcomes.

Using the patterns we’ll be trying to predict a classification- survival or deceased.

Titanic dataset available @ https://www.kaggle.com/c/titanic

Requirements

Numpy - Array manipulations and computations

Pandas - Creating data frames and exploring Dataset

Matplotlib and Seaborn - Visualizing dataset and creating different insightful plots

Scikit-learn - Importing Regression Model and different evaluation metrices.

Credit - https://medium.com/@anishsingh20/logistic-regression-in-python-423c8d32838b