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面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正
The interactive graphing library for Python ✨ This project now includes Plotly Express!
这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容
A standard style for README files
This repository is created for the Project Portfolio Milestone of Master of Science in Applied Data Science at Syracuse University.
This repository is a compilation of free resources for learning Data Science.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
PRML algorithms implemented in Python
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Ut…
Machine Learning to predict share prices in the Oil & Gas Industry
scikit-learn: machine learning in Python
Materials for my scikit-learn tutorial
This repository is the Graduation Portfolio Milestone for my master's degree of Applied Data Science at Syracuse University. It will showcase the academic projects I did in the previous coursework …
Portfolio Milestone for Master of Science in Applied Data Science at Syracuse University