The main purpose of this repo is to understand the approach towards EDA.

Kaggle Titanic Comp

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

This repository contains my internship tasks for the company Prodigy-InfoTech.

Repositório com a minha participação na competição do Kaggle

Repositório com a minha participação na competição do Kaggle

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

Use the popular titanic dataset from Kaggle with DVC to test and deploy an ML pipeline

🚢 Association and Pattern Recognition Algorithms on data from Titanic survivors.

Titanic survival analysis using Decision tree

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.

Titanic survival prediction - Analysis, Model training and Web app

This project use a titanic dataset to predict if a person could survive to the tictanic acciednt.

The Titanic Kaggle competition challenges participants to predict the survival of passengers. I conducted an exploratory data analysis, revealing key predictors like gender, class, age, and embarkation point. I used a stacking ensemble model with 3 base learners and 1 meta-learner. 💻

I am highly Grateful and thankful to Codesoft for providing me this Internship Oppurtunity and take my first step in the field of Data Science this is a place where i can learn, grow and explore.I will be giving my 100% of the knowledge and completing all the task in the given time interval.

Desvendando o famoso desafio do Titanic do Kaggle que propoêm a criação de um modelo de machine learning para prever quais passageiros sobreviverão ao naufrágio do Titanic.

A CSV parser created in HTML and Javascript