Spark, Scala, Jupyter Notebook

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks

Notebooks from my blog. meterdatascience.weebly.com

Some useful examples of Deep Learning (.ipynb)

This notebook contains my submission of Titanic submission challenge on Kaggle. Feel free to suggest improvements.

In this notebook, we will work on the Titanic dataset and use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

The notebook walks us through a typical workflow for solving data science competitions at sites like Kaggle. There are several excellent notebooks to study data science competition entries. However many will skip some of the explanation on how the solution is developed as these notebooks are developed by experts for experts. The objective of thi…

This python notebook contains the linear regression model to predict survivals of the Titanic incident.

Jupyter Notebooks com soluções de competições do Kaggle

This repository contains notebooks that are trained on The Titanic Dataset with ML ensemble methods like Random Forest, Decision trees and XGBoost.

This notebook is mostly focused on Beginners Learning for simple machine learning concepts and how to apply them into real world problems.

This repository includes a Python supervised classification project on Titanic in HTML as well as in Jupyter Notebook form, and it also includes PowerBI file for EDA of Titanic Dataset.

This notebook is my first attempt at using PySpark for EDA and Machine Learning models.

Exercises and notes completed in the Jupyter Notebook while completing the Udemy course, "Python for Data Analysis and Machine Learning

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

10 very popular data analysis exercises I have practised with jupyter notebook in my spare time, including Iris flowers, Titanic, K means clustering, linnear regression and logistic regression etc.

A notebook for learning how to handle non-numeric values in Datasets. Quite good 👍

This aim of this project is to predict whether the passenger has survived or not using the given independent features. The brief description of this file you will find in the readme section...Go through my notebook if there's any changes that I can do then do suggest me. Thank You

This Python Notebook is a proposal to analyse the Titanic dataset for the Kaggle Competition, using several data science techniques and concepts.

This is a notebook with an exploratory data analysis (EDA) of the Titanic dataset and a machine learning model to predict passenger survival.