基于隐式时间步长的简单一维热方程求解器
simple 1d heat equation solver using implicit time steps (2024-03-01, Jupyter Notebook, 0KB, 下载0次)
贝叶斯优化案例研究
Bayesian Optimization Case Study (2024-01-17, Jupyter Notebook, 0KB, 下载0次)
贝叶斯优化纸张复制
Bayesian Optimization Paper Replication (2023-11-30, Jupyter Notebook, 0KB, 下载0次)
贝叶斯优化案例研究
Bayesian optimization case study (2023-11-10, Jupyter Notebook, 0KB, 下载0次)
神经网络的贝叶斯优化，
Bayesian Optimization for a Neural Network, (2017-06-20, Jupyter Notebook, 0KB, 下载0次)
（分批）贝叶斯优化。用法示例：，
(batched) Bayesian Optimization. Example usage:, (2020-03-18, Jupyter Notebook, 0KB, 下载0次)
贝叶斯优化案例研究，，
Bayesian optimization case study,, (2021-05-27, Jupyter Notebook, 0KB, 下载0次)
NILM集成贝叶斯优化，，
NILM Ensemble Bayesian Optimization,, (2023-02-23, Jupyter Notebook, 0KB, 下载1次)
贝叶斯优化gp-svm，，
bayesian optimization gp svm,, (2018-04-04, Jupyter Notebook, 0KB, 下载0次)
贝叶斯几何优化实验，
Bayesian geometry optimization experiments, (2023-08-09, Jupyter Notebook, 0KB, 下载0次)
GLEE：几何拉普拉斯特征映射嵌入，
GLEE: Geometric Laplacian Eigenmap Embedding, (2020-03-07, Jupyter Notebook, 0KB, 下载0次)
预测班加罗尔房价的机器学习项目。，
A Machine Learning Project to predict Bangalore House Prices., (2020-12-30, Jupyter Notebook, 0KB, 下载0次)
艾姆斯-爱荷华州房价预测。，
Ames Iowa housing price prediction., (2018-01-17, Jupyter Notebook, 0KB, 下载0次)
嗨，我是迪克西斯！我有技术背景，拥有计算机科学（包豪斯...
Hi, I m Dixith! I have a technical background and hold a Master of Science (M.S.) degree in Computer Science (Bauhaus University Weimar, Germany), majoring in Statistics, Computer Vision, Machine Learning, and Algorithms Optimization. I have experience of 2 years of working in various Data Analyst roles. Since Nov 2021, I have been working as a ... (2022-10-30, Jupyter Notebook, 0KB, 下载0次)
Python API与芝加哥自行车头盔分析
Python API and analysis of Chicago s bikeshare (2022-12-08, Jupyter Notebook, 4878KB, 下载0次)
dsc贝叶斯定理实验室，，
dsc-bayes-theorem-lab,, (2023-03-07, Jupyter Notebook, 4KB, 下载0次)
罗斯曼销售额预测，创建了一个机器学习模型，用于预测罗斯曼连锁店的销售额。
Rossman-Sales-Prediction,Created a Machine Learning model for predicting Sales for Rossman Chain of Stores. (2022-02-27, Jupyter Notebook, 7269KB, 下载0次)
贝叶斯线性回归MCMC抽样技术、贝叶斯线性回归、蒙特卡罗马尔可夫链抽样技术
Bayesian-Linear-Regression-MCMC-sampling-techniques,Bayesian Linear regression, Monte Carlo Markov Chain Sampling techniques (2018-10-30, Jupyter Notebook, 856KB, 下载0次)
建立机器学习模型，以提高欺诈交易警报的有效性。这些数据来自维斯塔真实世界的电子商务交易，包含从设备类型到产品功能的广泛功能。
Build machine learning models to improve the efficacy of fraudulent
transaction alerts. The data comes from Vesta s real-world e-commerce
transactions and contains a wide range of features from device type to product
features.
, (2019-10-15, Jupyter Notebook, 2529KB, 下载0次)
pydata-chi-h2t，2016年芝加哥pydata的熊猫材料教程，
Materials for the pandas tutorial at PyData Chicago 2016
, (2020-11-11, Jupyter Notebook, 2324KB, 下载0次)