Machine Learning Models were applied to predict the mass of the brain based on gender, age ranges, and head size.

Overview

Brain Weight in Humans

Variations of head sizes and brain weights in humans

Kaggle dataset obtained from this link by Anubhab Swain.


Image obtained from Matthew Butler.

Models implemented by Anne Livia.

Context

This dataset was compiled using a medical study conducted on a group of people.

Content:

This dataset shows a few variations of head sizes and masses of brains, it also consists additional gender and age group columns.

  • Gender: 1 for Male, 2 for Female
  • Age Range: 1 represents > 18 years of age, 2 represents < 18 years of age
  • Head Size(cm^3): Head volume in cubic centimetres
  • Brain Weight(grams): - Mass of brains in grams

Question to be answered:

Predict the masses of the brains using the data, and later compare it with the actual masses of brains mentioned in the dataset.

Software Information

  • Python
  • Pandas
  • Scikit-learn
  • Matplotlib
  • Seaborn

Trained Models

  • Linear Regression:
    • R2 (only Head Size(cm^3) considered) = 0.73
    • R2 (All three attributes) = 0.74
  • Multi-layer Perceptron:
    • R2 (All three attributes) = 0.74
  • Decision Tree:
    • R2 (All three attributes) = 0.69
Owner
Anne Livia
Undergraduate student in Information Systems at UFPA
Anne Livia
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

Self-labelling via simultaneous clustering and representation learning 🆗 🆗 🎉 NEW models (20th August 2020): Added standard SeLa pretrained torchvis

Yuki M. Asano 469 Jan 02, 2023
The versatile ocean simulator, in pure Python, powered by JAX.

Veros is the versatile ocean simulator -- it aims to be a powerful tool that makes high-performance ocean modeling approachable and fun. Because Veros

TeamOcean 245 Dec 20, 2022
Official implementation of Few-Shot and Continual Learning with Attentive Independent Mechanisms

Few-Shot and Continual Learning with Attentive Independent Mechanisms This repository is the official implementation of Few-Shot and Continual Learnin

Chikan_Huang 25 Dec 08, 2022
What can linearized neural networks actually say about generalization?

What can linearized neural networks actually say about generalization? This is the source code to reproduce the experiments of the NeurIPS 2021 paper

gortizji 11 Dec 09, 2022
Addon and nodes for working with structural biology and molecular data in Blender.

Molecular Nodes 🧬 🔬 💻 Buy Me a Coffee to Keep Development Going! Join a Community of Blender SciVis People! What is Molecular Nodes? Molecular Node

Brady Johnston 456 Jan 08, 2023
Distributed Asynchronous Hyperparameter Optimization in Python

Hyperopt: Distributed Hyperparameter Optimization Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which

6.5k Jan 01, 2023
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

Rubicon Purpose Rubicon is a data science tool that captures and stores model training and execution information, like parameters and outcomes, in a r

Capital One 97 Jan 03, 2023
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases,

Chris Hughes 110 Dec 23, 2022
Bringing Characters to Life with Computer Brains in Unity

AI4Animation: Deep Learning for Character Control This project explores the opportunities of deep learning for character animation and control as part

Sebastian Starke 5.5k Jan 04, 2023
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

Memory Efficient Attention Pytorch Implementation of a memory efficient multi-head attention as proposed in the paper, Self-attention Does Not Need O(

Phil Wang 180 Jan 05, 2023
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. Now with tensorflow 1.0 support. Evaluation usa

Marcel R. 349 Aug 06, 2022
A framework for analyzing computer vision models with simulated data

3DB: A framework for analyzing computer vision models with simulated data Paper Quickstart guide Blog post Installation Follow instructions on: https:

3DB 112 Jan 01, 2023
Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

PortraitNet Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device". @ CAD&Graphics 2019 Introduction We propose a

265 Dec 01, 2022
A python code to convert Keras pre-trained weights to Pytorch version

Weights_Keras_2_Pytorch 最近想在Pytorch项目里使用一下谷歌的NIMA,但是发现没有预训练好的pytorch权重,于是整理了一下将Keras预训练权重转为Pytorch的代码,目前是支持Keras的Conv2D, Dense, DepthwiseConv2D, Batch

Liu Hengyu 2 Dec 16, 2021
Codes for building and training the neural network model described in Domain-informed neural networks for interaction localization within astroparticle experiments.

Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction

DIDACTS 0 Dec 13, 2021
HomeAssitant custom integration for dyson

HomeAssistant Custom Integration for Dyson This custom integration is still under development. This is a HA custom integration for dyson. There are se

Xiaonan Shen 232 Dec 31, 2022
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou, Quan Cui, Xiu-Shen Wei*, Zhao-Min Chen This repo

Megvii-Nanjing 616 Dec 21, 2022
Spatial Action Maps for Mobile Manipulation (RSS 2020)

spatial-action-maps Update: Please see our new spatial-intention-maps repository, which extends this work to multi-agent settings. It contains many ne

Jimmy Wu 27 Nov 30, 2022
STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech Keon Lee, Ky

Keon Lee 114 Dec 12, 2022
Lightwood is Legos for Machine Learning.

Lightwood is like Legos for Machine Learning. A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glu

MindsDB Inc 312 Jan 08, 2023