Solved CodeBasics Resume Project Challenge #9 with the help of Python Notebook

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

The notebook on the main topic of interpretable machine learning is a descriptive and instructive analysis of a car data set from a public source.

My Kaggle Projects

In this notebook we take a look at a relevant project that is frequently encountered by insurers: Fraud Detection. For this purpose we use a car data set from a public source and will show the necessary steps to establish an automated fraud detection.

📓 Repositório do programa Santander Coders (2020)

Jupyter Notebook and working notes of the GeoLifeCLEF 2019 challenge.

Notebook done for the APTOS 2019 Blindness Detection on kaggle

This Python Notebook was developed for a challenge: whose model is the most performant in predicting apartments' sale prices?

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks