Bare bone examples of machine learning in TensorFlow

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIM…

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Simple machine learning library / 簡單易用的機器學習套件

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.

A simple movie recommendation engine

Stock price trend prediction with news sentiment analysis using deep learning

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

a collection of modern sparse (regularized) linear regression algorithms.

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Python module for performing linear regression for data with measurement errors and intrinsic scatter

Web app to predict sales of a new product 📈

An implementation of Linear Regression from scratch in python 📈

implement the machine learning algorithms by python for studying

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

Toolbox for advanced differential power analysis of symmetric key cryptographic algorithm implementations