A model classifying whether a person would survive on Titanic
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Updated
Apr 27, 2021 - Jupyter Notebook
A model classifying whether a person would survive on Titanic
ML-bot that detects toxicity in russian texts.
classifying a patient has a heart disease or not
This is my final solution to the Mars-spectrometry challenge by NASA hosted on @drivendataorg
Expresso Churn Prediction Challenge - dealing with imbalanced dataset
Classifying if a landslide occured or not
Disaster Tweets Classifications by Machine Learning, which is a currently Kaggle Competition.
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.
Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.
The top 5% of the titanic competition in Kaggle. achieved this through ensemble of models
Android malware detection using machine learning.
Classification problem in Heart-Disease Data
Notes, tutorials, code snippets and templates focused on CatBoost for Machine Learning.
Built a Machine Learning Supervised classification algorithm, for predicting the risk of cardiovascualar disease withing coming 10 years by analyzing Patients medical History.
Detección de cardiopatías en pacientes mediante el uso de datos clínicos utilizando técnicas de Machine Learning y Deep Learning.
A loan prediction modes
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