Personal Solution to Titanic Disaster problem on Kaggle.

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

Neural Network ConsoleでKaggleのタイタニックを学習するサンプルです。前処理(Jupyter Notebook)、学習・モデル構造自動探索(Neural Network Console)、ONNX推論(Jupyter Notebook)を含みます

My notebook that a sent to Kaggle Titanic challenge.

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

This project, carried out in Jupyter Notebook, aims to explore the main Data Analysis techniques with Python tools. Pandas, Numpy, Seaborn, Matplotlib, Plotly and sklearn are used. Divided into three notebooks, I separate the data cleaning, data analysis and machine learning part. For more details and goals, see README

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.

This is my first Machine Learning Project. The project employs a variety of machine learning models, including Random Forests, Gradient Boosted Trees, and Neural Networks, to predict survival. Techniques for data cleaning, feature engineering, and model tuning are thoroughly documented in the Jupyter notebooks.

Machine Learning Homework Solution Notebooks (UCF CAP5610)

this notebook is just a copy paste of other notebooks that I found online

Notebooks explaining various Machine Learning concepts.

Material do minicurso de aprendizado de máquina com Pandas e Jupyter Notebook

Titanic Survival Prediction: Jupyter Notebook demonstrating Random Forest Classifier for survival prediction on Titanic dataset.

My attempt at the introduction to machine learning Kaggle competition: "Titanic: Machine Learning from Disaster"

My first Kaggle Challange Notebook with 0.76555 accuracy rate using Tensorflow Linear Regression Classifier.

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

This is a repository for Titanic dataset analysis with EDA notebook and Power BI dashboard.

Jupyter notebook con un tutorial de python para gente con experiencia programando en otros lenguajes.

Jupyter notebook to predict who survived the titanic crash and who did not, based on the data available.