linear-regression

100 Days of ML Coding

Code for Tensorflow Machine Learning Cookbook

Collection of notebooks about quantitative finance, with interactive python code.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Python code for common Machine Learning Algorithms

Plain python implementations of basic machine learning algorithms

Bare bone examples of machine learning in TensorFlow

For extensive instructor led learning

🙄 Difficult algorithm, Simple code.

General Assembly's 2015 Data Science course in Washington, DC

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

gesture recognition toolkit

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: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Fast Best-Subset Selection Library

Multivariable regression library in Go

Regression, Scrapers, and Visualization

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)