👶 Technical concepts explained in layman terms! git.io/eli5
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Updated
Oct 26, 2023
👶 Technical concepts explained in layman terms! git.io/eli5
Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area
Exploring feature contributions to outliers, feature importances, and image recognition features
Learning to represent text using Word2Vec
A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Proposing a new measure of XAI called eXirt.
Binary to Decimal Encoder-Decoder using RNN with tensorflow
How does Word2Vec work ?
This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised
Graduation Project - Sentiment Mining
Medify is a MERN stack app that predicts heart disease using machine learning. Patients can send their medical data to their doctors through the app.
The aim of the project is to analyze the TMDB Prediction Dataset.
na podstawie kursu "Matrix - poznaj reguły gry", stworzonego przez DataWorkshop
Classifying different books that are semantically close based on their name, then analyzing the misclassified segments by XAI
ELI5/15/25 Documentation Paradigm
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