Implemented machine learning projects.
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Updated
Nov 14, 2018 - Jupyter Notebook
Implemented machine learning projects.
Solution to Kaggle's Titanic survival prediction
Titanic Survival Prediction using KNN for beginners
Utilisation de la régression logistique pour prédire la survie des passagers du Titanic.
Problem to solve: On the Titanic disaster predict who would survive based on 4 features: sex, age, fare and class.
Analysing titanic data and creating ML model to predict chances of survival based on certain criteria
Machine Learning - Logistic Regression
Uncover the secrets of deploying ML models in production with this tutorial. Leveraging the Titanic dataset, learn the ins and outs of transitioning from research to production. Master modularization, code standards, and scalability for successful machine learning deployments.
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.
This is a machine learning model that predicts whether you would have survived the Titanic incident on 15 April 1912
This repository contains three machine learning projects completed during the internship at Encryptix: Titanic Survival Prediction, Sales Prediction, and Credit Card Fraud Detection. Each project includes data preprocessing, exploratory data analysis, model building, and evaluation steps.
Predicting survival rates of the Titanic with a multi-layer perceptron neural network.
Predicting the survival of passengers on RMS Titanic using information about the passengers.
This repository consists of the homework assigments as part of BUAN 6341 - Applied Machine Learning. The solutions in this repository are to be used strictly as reference purposes only. Copying or submitting the same solutions found in this repository violates the UTD honor code
This was my first step into machine learning, Its not new, I am just uploading it on Github now. Its a llinear regression model
My solution for Kaggle's Titanic competition.
Solution to Kaggle's competition on titanic survival prediction
This is a kaggle beginner project which got a score of 0.76
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