vanilsongomes

Aula-Estatistica

Credit-score

CURSO-PYTOCH

cvxpylayers

Differentiable convex optimization layers

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

project_gap

bandgap prediction

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

README.md

The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

vanilsongomes/Credit-score

vanilsongomes/README.md

vanilsongomes/Aula-Estatistica

vanilsongomes/CURSO-PYTOCH

vanilsongomes/cvxpylayers

Differentiable convex optimization layers

vanilsongomes/databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

vanilsongomes/machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

vanilsongomes/project_gap

bandgap prediction

vanilsongomes/pysindy

A package for the sparse identification of nonlinear dynamical systems from data

vanilsongomes/The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

vanilsongomes/Datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

vanilsongomes/Deep-Learning

Examples using public data in Keras and PyTorch

vanilsongomes/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

vanilsongomes/distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

vanilsongomes/famat-oficina

Oficina

vanilsongomes/github-slideshow

A robot powered training repository :robot:

vanilsongomes/keras-wine-model

Model built with the Keras Functional API

vanilsongomes/neural-network-pruning-and-sparsification

TensorFlow implementation of weight and unit pruning and sparsification

vanilsongomes/Pattern-Recognition-and-Machine-Learning-Python-examples

PRML algorithms implemented in Python

vanilsongomes/Pratical

vanilsongomes/PRMLT

Matlab code for machine learning algorithms in book PRML

vanilsongomes/project_1

harmonic oscillator

vanilsongomes/Project_Linear_Regression

vanilsongomes/projeto-TimeSeriesPrediction

vanilsongomes/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

vanilsongomes/qml

QML: Quantum Machine Learning

vanilsongomes/RNN-for-Time-Series

Recurrent neural network (RNN) methods for time series forecasting

vanilsongomes/TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

vanilsongomes/time-series-prediction

vanilsongomes/ts_sunspot