The latest articles on DEV Community by Tushar Mittal (@techytushar). https://dev.to/techytushar https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F391253%2F10e9bce5-7986-471b-9279-1ec348aadd9c.jpeg https://dev.to/techytushar en Tushar Mittal Wed, 20 May 2020 20:34:02 +0000 https://dev.to/techytushar/would-you-have-survived-28pn https://dev.to/techytushar/would-you-have-survived-28pn <h2> My Project </h2> <p>Although this is not my final year project, but I would like to share it with the community because its fun!</p> <p>In the initial days of learning Data Science, I trained a model on the very popular <strong>Titanic Dataset</strong> and got good accuracy. I thought why not share it with everyone so that everyone can check whether they <strong>would have survived if they were on the Titanic ship</strong>.</p> <h2> Demo Link </h2> <p><a href="https://titanic-survival.herokuapp.com/">Here is the working demo</a></p> <h2> Link to Code </h2> <p><code>{% github.com/techytushar/would-you-have-survived %}</code></p> <h2> How I built it </h2> <p>I mostly used <strong>Python</strong> to build the project. The following stack was used:</p> <ul> <li> <strong>Machine Learning:</strong> Scikit Learn, Pandas, Numpy, XGBoost</li> <li> <strong>Web App:</strong> Flask, JavaScript</li> <li> <strong>Deployment:</strong> Heroku</li> </ul> <p>This was the first project which I deployed on Heroku and I realized how easy it was to deploy Python webapps on it. I also learnt how to connect machine learning model with webapps.</p> devgrad2020 octograd2020 githubsdp machinelearning