2018年甜橙金融杯大数据建模大学_初赛——DC竞赛
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Updated
Mar 11, 2019 - Python
2018年甜橙金融杯大数据建模大学_初赛——DC竞赛
A Bayesian Optimization Package with No Fuzz
I showcase that I have broad set of skills regarding machine learning algorithms since I use Logistic Regression, XGBoost and Neural Networks in this project. Especially that I have a good understanding regarding neural networks and the Keras library.
Finding the best solution for geometry of electrical devices based on defined target for frequency responses
A framework for exploring the condition space of free radical polymerization (FRP) using Bayesian optimization and Monte Carlo simulation
This repository is dedicated to the DataStorm Machine Learning Competition organized by John Keels Corporations and OCTAVE.
Different techniques to tune the hyperparameter of machine learning models.
Efficient and Scalable Batch Bayesian Optimization Using K-Means
This notebook demonstrates timeseries classification for crop identification on a subset of the MiniTimeMatch dataset by training an LSTM model.
Bayesian Optimisation for Parameter Tuning of the XOR Neural Network
Bayesian Optimization Algorithm for Molecular Conformers
Various small projects covering a wide range of topics
Hands-on tutorial on Bayesian optimization for learning rate optimization on the K-MNIST dataset using PyTorch.
A submission for Garanti BBVA Teknoloji Data Science Challenge
An analysis of travel insurance policies
The project aims to identify the painter from the artwork through the use of CNN in fine tuning and from scratch
Predictive model that divides the customers into groups based on common characteristics so companies can market to each group effectively and appropriately
Under this problem setup, the goal is to leverage existing configuration data to make the overall optimization process as efficient as possible.
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