2214 Open source projects that are alternatives of or similar to Stock Prediction

Courses, Articles and many more which can help beginners or professionals.

Stock for Deep Learning and Machine Learning

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

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Notes for Deep Learning Specialization Courses led by Andrew Ng.

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A selection of state-of-the-art research materials on decision making and motion planning.

A visualisation tool for the creation and analysis of graphs

Use unsupervised and supervised learning to predict stocks

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Tutorials, assignments, and competitions for MIT Deep Learning related courses.

NOKIA Book covers selected aspects of the telecommunication industry programmer's work

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Use NLP to predict stock price movement associated with news

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

A list of Twitter datasets and related resources.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Rumale is a machine learning library in Ruby

Create HTML profiling reports from pandas DataFrame objects

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Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Best Practices on Recommendation Systems

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

🦄 The Enterprise™ programming language

Visualise your data from Scala using Plotly

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Introducing neural networks to predict stock prices

An open-source platform for automating tasks using machine learning models

Carefully curated resource links for data science in one place

Teaching materials in python at the @ENSAE

Multi-class confusion matrix library in Python

A high-level machine learning and deep learning library for the PHP language.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

收录开源的经典技术书籍 PDF 文件及相关网站，持续更新中...

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

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Yet another black-box optimization library for Python

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BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A complete framework for Godot to create beautiful and complex AI motion. Works both in 2D and in 3D.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

PHP-ML - Machine Learning library for PHP

Data transformations for the ML era