在我们的项目中，我们将使用一些预测模型来帮助使用纳斯达克数据进行股票预测。
In our project we will be using some prediction models to aid in stock prediction using NASDAQ Data. (2024-05-24, Jupyter Notebook, 0KB, 下载0次)
自2020年秋季以来，我在美国葛底斯堡学院学习的课程
Courses that I have taken at Gettysburg College, US since Fall 2020 (2024-05-08, Jupyter Notebook, 0KB, 下载0次)
使用班加罗鲁的房价数据集训练线性回归模型，并将该模型部署为具有Streamlit前端的FastAPI
Train a Linear Regression model with Bengaluru s house price dataset and deploy the model as a FastAPI with a Streamlit frontend (2024-03-23, Jupyter Notebook, 0KB, 下载0次)
专门用于变量和贝叶斯方法和离散优化课程项目的知识库，巴黎Telécom 2023 2024。
Repository dedicated to the projects of Variational and Bayesian methods and discrete optimization course, Télécom-Paris 2023 2024. (2024-02-17, Jupyter Notebook, 0KB, 下载0次)
使用OLS、决策树、随机森林、XGBoost和人工神经网络（ANN）预测巴基斯坦汇率（美元PKR）。
Forecasting Exchange Rate of Pakistan (USD PKR) using OLS, Decision Trees, Random Forest, XGBoost, and Artificial Neural Network (ANN). (2023-12-02, Jupyter Notebook, 0KB, 下载0次)
马克斯·普朗克人类认知和脑科学研究所认知遗传学实验室的开放脚本和管道...，
Open Scripts and pipelines from the Cognitiveneurogenetics Lab at the Max Planck Institute for Human Cognitive and Brain Sciences and Forschungszentrum Jülich (2023-09-13, Jupyter Notebook, 0KB, 下载0次)
使用Baysian Optimi调整回归问题（梅赛德斯-奔驰绿色制造挑战）中的超参数的实现...，
An implementation on tuning hyper-parameters in a regression problem (Mercedes-Benz Greener Manufacturing challenge) using Baysian Optimization (Scikit-Optimize). (2019-01-05, Jupyter Notebook, 0KB, 下载0次)
下面是我在加拿大皇后大学Anita Tusche博士的神经经济学实验室期间的一些项目。我试过一些无监督的...，
Here are some of my projects from my time in Dr. Anita Tusche s Neureoconomics lab at Queen s Universtiy in Canada. I tried some unsupervised clustering on the lab s data set. (2023-08-18, Jupyter Notebook, 0KB, 下载0次)
使用ML:RF、朴素贝叶斯、KNN、SVM算法预测移动价格。特征分析、数据预处理和模型评估。，
Predict mobile prices using ML: RF, Naive Bayes, KNN, SVM algorithms. Features analysis, data preprocessing, and model evaluation., (2023-08-17, Jupyter Notebook, 0KB, 下载0次)
项目包括K-means聚类、关联规则、朴素贝叶斯、深度学习、NLP（情感分析）等。熟悉以下内容...，
Projects include K-means clustering, Association Rules, Naive Bayes, Deep Learning, NLP (Sentiment Analysis), etc. Familiar with the following platforms: Databricks-Lakehouse over Spark. (2023-06-08, Jupyter Notebook, 0KB, 下载0次)
本笔记本展示了一个基于分类算法的预测模型，如Logistic回归、朴素贝叶斯、随机森林、De...、...，
This notebook showcases a prediction model based on classification algorithms such as Logistic Regression, Naive Bayes, Random Forest, Decision Tree, KNN. It compares the accuracy of all the models and also looks at the impact of PCA and feature selection on all of the mentioned algorithms. Finally comparing the accuracy with and without PCA (2022-09-08, Jupyter Notebook, 0KB, 下载0次)
与查尔斯顿学院计算机系安德森实验室合作研究项目中使用的代码
Code used in a collaborative research project with the Anderson Lab in the College of Charleston Department of Computer (2016-09-12, Jupyter Notebook, 0KB, 下载0次)
克劳斯·罗伯特·米勒教授教授的计算机科学硕士班“机器学习1”的练习解决方案...
Exercise solutions to the computer science Master s class "Machine Learning 1" taught by Prof. Dr. Klaus-Robert Müller during the winter semester 2021/22 at Technische Universit?t Berlin. (2022-03-29, Jupyter Notebook, 0KB, 下载0次)
利用地图、视觉资料和方差分析测试对Airbnb伊斯坦布尔数据进行解释性数据分析。
Explaratory Data Analysis of Airbnb Istanbul data with maps, visuals and ANOVA tests. (2023-04-23, Jupyter Notebook, 7391KB, 下载0次)
DeepNLP模型Pytorch，各种深度NLP模型在cs-224n中的Pytorch实现（斯坦福大学）
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
, (2019-10-15, Jupyter Notebook, 726KB, 下载0次)
GAN-RNN_时间序列插补，用于时间序列数据插补的递归GAN。在TensorFlow 2中实现的维基百科网络流量预测数据...
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle. (2022-10-29, Jupyter Notebook, 3077KB, 下载0次)
BayesianAuthorIdentification，朴素贝叶斯分类器，与马尔可夫链一起用于识别谁从一组作者中编写了文本。
BayesianAuthorIdentification,Naive Bayesian classifier used with Markov Chains to identify who wrote a text from a set of authors. (2016-10-19, Jupyter Notebook, 6907KB, 下载0次)
用于欺诈预防的俄罗斯电子商务网站数据集、使用catBoost算法对数据集中的欺诈进行分类和扩展数据分析，
classification of fraud in dataset using catBoost algorithm and Expalanory
data analysis
, (2020-04-07, Jupyter Notebook, 545KB, 下载0次)
pydata-ams2017年4月7日星期五上午9点至中午，阿姆斯特丹pydata的熊猫教程，
Tutorial on Pandas at PyData Amsterdam, 9am to midday, Friday 7 April 2017
, (2017-04-07, Jupyter Notebook, 13178KB, 下载0次)
普拉齐（Platzi）的《潘达斯与Python的诅咒》（Curso de Manipulación y Análisis de Datos con Pandas y Python）
Curso de Manipulación y Análisis de Datos con Pandas y Python by Platzi??
, (2020-07-05, Jupyter Notebook, 31984KB, 下载0次)