APTOS 2019 Blindness Detection — Playing around with ResNeXts and Progressive NASNet
Author(s): Luka Chkhetiani Originally published on Towards AI. APTOS 2019 Blindness Detection U+007C Towards AI A while ago Kaggle announced challenge: APTOS 2019 Blindness Detection — Detect diabetic retinopathy to stop blindness before it’s too late. The idea of competition is to …
Titanic Challenge — Machine Learning for Disaster Recovery — Part 2
Author(s): Bindhu Balu Originally published on Towards AI. Source: Pxfuel Part-2 — Predictive Model Building Code Location: https://github.com/BindhuVinodh/Titanic—Predictive-Model-Building II — Feature engineering In the previous part, we flirted with the data and spotted some interesting correlations. In this part, we’ll see how …
Getting Started with Titanic Kaggle | Part 2
Author(s): Durgesh Samariya Originally published on Towards AI. Let’s develop a model to predict Titanic’s challenge with Kaggle Source: National Geographic In the last post, we started working on the Titanic Kaggle competition. If you haven’t read that yet, you can read …
Data Science Accelerated: ChatGPT Code Interpreter as Your AI Assistant
Author(s): Esmaeil Alizadeh Originally published on Towards AI. Enhance Your Data Analysis by utilizing Interactive Assistance and Insights from ChatGPT Code Interpreter through an Example Image Generated with “Bing Image Creator” powered by DALL·E In this post, we are going to use …
Building a Classification Model To Score 80+% Accuracy on the Spaceship Titanic Kaggle Dataset
Author(s): Devang Chavda Originally published on Towards AI. This article will walk you through detailed forward feature selection steps and model building from scratch, improving it further with fine-tuning. Photo by NASA on Unsplash Data pre-processing of spaceship-titanic kaggle dataset for achieving …
Build Impressive Data Science Projects: 10 Websites with Open Datasets to Build Your Portfolio
Author(s): Youssef Hosni Originally published on Towards AI. Data science is a rapidly growing field that combines statistical analysis, programming, and machine learning to extract insights from data. However, one of the biggest challenges for aspiring data scientists is finding high-quality, unique …
How to Build a strong Data Science Resume with Kaggle
Author(s): Louis Bouchard Originally published on Towards AI. Forget PIP, Conda, requirements.txt! Use Poetry Instead And Thank Me Later Bex T. in Towards AI Pain-free dependency management is finally here·8 min read·Jun 24 1.4K 17 … Read the full blog for free …
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