The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Notebooks using getml to challenge relbench scores.
My Kaggle Projects
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
📓 Repositório do programa Santander Coders (2020)
Notebook done for the APTOS 2019 Blindness Detection on kaggle
Jupyter Notebook and working notes of the GeoLifeCLEF 2019 challenge.
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.
Solved CodeBasics Resume Project Challenge #9 with the help of Python Notebook
This Python Notebook was developed for a challenge: whose model is the most performant in predicting apartments' sale prices?
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.
My 100 Days of Machine Learning journey inspired by the CampusX YouTube series by Nitish Singh Sir. This repository contains daily notebooks, projects, and notes covering data preprocessing, feature engineering, model building, evaluation, and real-world applications.
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