Topic: "stock-prediction-models"
huseinzol05/Stock-Prediction-Models π¦
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Language: Jupyter Notebook - Size: 43.8 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 8,530 - Forks: 2,925
Ailln/stock-prediction
π° θ‘η₯¨ι’ζ΅ / ιεδΊ€ζζ―θ΅
Language: Python - Size: 631 KB - Last synced at: 23 days ago - Pushed at: almost 5 years ago - Stars: 34 - Forks: 10
JoshuaWu1997/EMD-ALSTM-Multi-Factor-Stock-Profit-Prediction
Multi-Factor Stock Profit Prediction Using EMD-ALSTM
Language: Python - Size: 12.6 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 6
xixi0222/Quantitative-Analysis-of-Fundamentals-by-Machine-Learning
Quantitative analysis of fundamentals in quarterly reports by Machine Learning
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 5
roscibely/stock-price-prediction
Stock Prediction using Machine Learning π π
Language: Jupyter Notebook - Size: 569 KB - Last synced at: 18 days ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 0
leyviya/stock-prediction-web-app-python
Engineering Project 3.
Language: Python - Size: 5.6 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2
MuntahaShams/stock_market-prediction
using linear regression model stock market prices can be predicted
Language: Python - Size: 3.3 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
olesuv/stock-predictor
regression model to predict selected crypto price (in available data range)
Language: Jupyter Notebook - Size: 6.58 MB - Last synced at: 9 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
federic0casu/IS-Project π¦
Stock returns prediction using RNN and LSTM neural networks
Language: Jupyter Notebook - Size: 9.91 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
krishcy25/TimeSeriesModeling-Apple-Stock-Prediction
This repository focuses on building Time Series Model (Recurrent Neural Network- LSTM) to predict the stock price of the Apple.Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems that involves time series related events
Language: Jupyter Notebook - Size: 200 KB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
