Husseinhhameed/Weather-Predictions

Complete project of predicting the weather condition using Deep Learning

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CrazyTrain93/Lottery_6_aus_49_predictions

Welcome to the Lotto 6 aus 49 Prediction Project! This repository contains predictive models and analyses for Lotto 6 aus 49, a popular lottery game in Germany. Through statistical analysis, machine learning models, and simulations, we aim to provide insights and predictions to help lottery enthusiasts make informed decisions. BE AWARE! FUN PROJECT

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iambitttu/IMDB-Reviews-Sentiment-Analysis-with-LSTM

The dataset used in this project consists of 50,000 IMDB movie reviews, evenly split into 25k reviews for training and 25k for testing. Each review is labeled as either positive or negative.

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LConann/neural-stock-prophet

LSTM-ARIMA with Attention and Multiplicative Decomposition for Sophisticated Stock Forecasting.

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hasi03/Timeseries-sunspots

Time Series Forecasting for solar activity. Applied numerous Machine Learning Algorithms (GNN, LSTM, XGBoost) to improve predictions and compared them.

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KittenCN/predict_Lottery_ticket_pytorch

pytorch下基于transformer / LSTM模型的彩票预测

Language: Python - Size: 324 KB - Last synced: about 24 hours ago - Pushed: 1 day ago - Stars: 41 - Forks: 16

akain0/Reinforcement-Learning-

Projects and Models built in Python leveraging PyTorch, implementing Reinforcement Learning algorithms for reward-based tasks.

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ximeguerron/LSTM_u_forecasting

Forecasting the quality of cloud services using LSTM networks

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AspirinCode/awesome-AI4ProteinConformation-MD

List of protein (enzymes and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning

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Afroefras/cora_cleaner

LSTM-Autoencoder para limpiar audio cardiaco: Segmentar qué es un latido y qué es ruido hospitalario. :heart:

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kajallochab/ShakespearAI

Generating Shakespearean Text with LSTM Neural Networks: This project uses LSTM networks to generate text in the style of William Shakespeare. It explores the intersection of literature and AI by mimicking the rich linguistic nuances and poetic depth of Shakespearean prose and poetry.

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VivekPa/IntroNeuralNetworks

Introducing neural networks to predict stock prices

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ayush-sys/stock-trend-prediction

A stock predicting application using LSTM model to predict performance of a stock.

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arya1406/weather-forecasting

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arya1406/airline-twitter-statement-classification

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30lm32/ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

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jimmyg1997/NTUA-slp-nlp

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

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Gaby-253/Text-Classifier-LSTM

This is a text classifier that works well for long text or article. It's a supervised learning with LSTM network, because you have to explain your topics before launching it.

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gamecoder08/StockPredictor Fork of debasishray16/StockPredictor

"Stock Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user displaying current trends and stocks data which uses ML like "LSTM" and "Random Forest" model.

Language: Python - Size: 65.1 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 0 - Forks: 0

debasishray16/StockPredictor

"Stock Predictor" project basically aims to provide a visual representation and analysis of data related to time-series data which is constantly changing. This provides a dashboard to user displaying current trends and stocks data which uses ML like "LSTM" and "Random Forest" model.

Language: Python - Size: 65.1 MB - Last synced: 5 days ago - Pushed: 6 days ago - Stars: 0 - Forks: 2

DiFronzo/LSTM-for-Human-Activity-Recognition-classification

Deep convolutional and LSTM feature extraction approach with 784 features.

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anmol957/text_generation_model_ml

Developed a state-of-the-art text generation model leveraging machine learning techniques to autonomously produce coherent and contextually relevant textual content.

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collinprather/drsa

An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.

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prakashsellathurai/Auto-Content-Generation

Text Generation using LSTM Architecture

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mgg39/AI-that-recognizes-fake-news

LSTM network designed to recognize Fake news from "True" news

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ImagingYeditepe/ShortTerm-Forecasting-in-Turkey-using-LSTM

SHORT-TERM-FORECASTING-COVID-19-IN-TURKEY BY USING LSTM WITH TO COMPARE ARIMA, HWAAS, PROPHET The authors of this article are SERDAR HELLİ ,ÇAĞKAN DEMİRCİ,ONUR ÇOBAN ,and ANDAÇ HAMAMCI.

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starkblaze01/Generate-TV-Scripts

Generate TV Scripts using RNN and LSTM

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kobejean/twitter-ml

Machine learning with Twitter

Language: Python - Size: 264 MB - Last synced: 7 days ago - Pushed: over 4 years ago - Stars: 2 - Forks: 1

MichaelHager01/Stock-Market-Analysis

My team is developing a stock market prediction app using Tkinter in Python utilizing TensorFlow and Scikit-learn to implement neural networks and linear regression models. The goal of this project is to achieve accurate stock market predictions through comprehensive data analysis and model optimization techniques.

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wdbm/Psychedelic_Machine_Learning_in_the_Cenozoic_Era

machine learning introduction, featuring Python, TensorFlow, Keras, examples... and love

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tobi303x/Machine-Learning-Projects

Hands-on machine learning projects covering various techniques and algorithms. Each project provides practical examples and exercises.

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ZWeiweiY/ASL_Alphabets_Hand_Sign_Tracker

An ASL (American Sign Language) alphabets tracker system for the game GestureQuest

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prekshivyas/CIS-5190-Applied-ML

Custom deep learning architectures for Sentiment Analysis and Image Classfication

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Wapiti08/LogAnalyzer

Ensemble framework of some log based anomaly detection work.

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aarshg28/Predective-Maintainence-for-Fault-Detection

Recent studies on predictive maintenance help industries to create an alert before the components are corrupted. Prediction of component failures, companies have a chance to sustain their operations efficiently while reducing their maintenance cost by repairing components in advance.

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JordiCorbilla/stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

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romilan24/LSTM-nodal-price-forecast

A Deep Learning electricity price forecast using Long Short-Term Memory (LSTM) deep learning network.

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MrAnayDongre/Machine-Learning-Collection

Repo for Implementing Research Papers & Projects related to Machine Learning

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aravinda-1402/Flight_Delay_Prediction_using_Machine_Learning

This research investigates flight delay trends, examining departure time, airline, and airport factors. Regression machine learning meth- ods are utilized to predict delay contributions from various sources. Time-series models, including LSTM, Hybrid LSTM, and Bi-LSTM, are compared with baseline regression models such as Multiple Regression, Decisi

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vaibhavdangar09/Font_Recognition_Using_Ml

The Font Recognition project employs a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory Recurrent Neural Networks (LSTM RNNs) to recognize fonts from images. This hybrid architecture is chosen for its ability to capture both spatial features from images (via CNNs) and temporal dependencies within sequences of features

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ThinamXx/TimeSeries_Sunspots

In this repository, you will gain insights about the Implementation of Deep Neural Network along with CNN, RNN and LSTM on Time-Series data.

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ThinamXx/MusicGeneration_with_DeepLearning

In this repository, RNN and LSTM model will compose folk songs music. You will gain a lot of insights about DeepLearning and RNN.

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ThinamXx/DuplicateQuestions__Recognition

I have build a LSTM Model using Trax which can identify the Duplicate Questions or Similar Questions which is useful when we have to work with several versions of the same Questions.

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kafkasl/contextualLSTM

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Language: Python - Size: 2.71 MB - Last synced: 11 days ago - Pushed: about 5 years ago - Stars: 29 - Forks: 7

easonlai/stock_forecast_lstm

This is a demo repo to demonstrate how to use the famous type of Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) to forecast time-series data of stock price.

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lintangsutawika/berkicau

Part of NER challange for Fasilkom UI NLP class 2017.

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bhaskatripathi/LSTM_Univariate_chickenpox_Prediction

LSTM (Univariate, Multi-step) - Time Series forecasting of Chickenpox cases

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macabdul9/music-generator

A deep learning based music generator

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macabdul9/emoji-prediction-using-recurrent-neural-networks

predicting emoji for given sentence using deep learning

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cosimoiaia/KERAS-TwitterBot-LSTM

Una semplice implementazione di una rete LSTM in Keras per generare Tweets

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Annarhysa/Cryptocurrency-Market-Analysis

Performing EDA on historic Cryptocurrency dataset and using Machine Learning models (LSTM) to forecast future prices.

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NajiAboo/DeepLearningNLP

Iris dataset classification using Keras

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daniloaleixo/PT-Language-Model

Portuguese Language Model created with Wikipedia texts

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Satoru-Shibata-JPN/EconomicForecastingSimulations

Rによる経済予測シミュレーション

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PialGhosh2233/Simple-Bangla-Chatbot-using-Neural-Network

A bangla chatbot using bidirectional lstm

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davchez/stockforecaster

Stock Price Forecaster - LSTM

Language: Python - Size: 2.36 MB - Last synced: 12 days ago - Pushed: 13 days ago - Stars: 1 - Forks: 0

kiritoInd/MachineLearning-Coursera-Course-Codes

Tools for machine learning from two courses machine learning specialization and deep learning specialization

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rigved-sanku/NLP-Language-Translation

My first NLP Project, using seq2seq model to translate English sentences to German.

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polarbeargo/RoboND-DeepRL-Project Fork of udacity/RoboND-DeepRL-Project

udacity/RoboND-DeepRL-Project

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Netanelshoshan/freqAI-LSTM

TensorFlow LSTM model for freqtrade

Language: Python - Size: 58.6 KB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 28 - Forks: 8

immanuvelprathap/Electrocardiogram-Anomaly-Detection-RNN-Time-Series

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Dushanthimadhushika3/Analyzing-the-Impact-of-Social-Media-on-Sinhala-News-Dissemination-in-Mass-Media-and-vise-versa

Twitter has become a one of the major Social media platform which contributes in mass media news sharing. This repository contain the research conducted on Social media hate content impact on Sinhala news dissemination on mass media and vise versa.

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lvllvl/speedDetection

Detects car speed from mounted dash cam

Language: Jupyter Notebook - Size: 29.1 MB - Last synced: 15 days ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

edzzn/reggaetonGenerator

AI using RNN's and LSTM generates Reggaeton / AI genera letras de Reggaeton

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sebdei/deep_nlp_clustering

Deep NLP clustering with LSTM as an autoencoder

Language: Python - Size: 42.3 MB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

UoA-CARES-Student/MotionSimilarityAndMedicineTakingRecognition

This is a B.E. Honours Research Project to help elderly/COPD patients with their exercise routines and medicine consumption.

Language: Python - Size: 65.7 MB - Last synced: 15 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

shamiul94/Amazon-Review-Classifier-FastText-LSTM

This is one of my fun projects. It's a review classifier based on Amazon's reviews dataset hosted on Kaggle. I used FastText and Deep Learning model LSTM to build it.

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adigapranava/xray_discriptor

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EsraaMadi/Saudi-Arabia-weather-forecasting

Use sequence models to forecast weather in Saudi Arabia cities

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The-Predictbay/Predictbay-V1

Stock prediction webapp using LSTM model for prediction, Streamlit for frontend /backend and yfinance for datafetching.

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AI4Finance-Foundation/Quantifying-ESG-Alpha-using-Scholar-Big-Data-ICAIF-2020

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

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Meta-Collab/MetaCollab

Keep your data to yourself!

Language: Python - Size: 257 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 0 - Forks: 0

AtharvaMaskar26/harmon-ai

Harmon AI: Deep Learning based Melody Generator build using RNN & LSTM

Language: Python - Size: 8.05 MB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 0 - Forks: 0

manikantareddychamala/STOCK-Market-prediction-and-forecasting

This repository contains mini projects in machine learning in deep learing with notebook files

Language: Python - Size: 324 KB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 1 - Forks: 0

zeinhasan/Long-Short-Term-Memory-Bitcoin

Forecasting Bitcoin Using LSTM

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Hrithik0the0research/Music-generate

DEEP-MUSIC GENERATOR app models creation and web-app creation ( for more details please read the Readme)

Language: Python - Size: 10.7 MB - Last synced: 18 days ago - Pushed: 7 months ago - Stars: 2 - Forks: 1

fadybaly/music-harmony-generation

provides accompaniment music for people with melodies in mind who lack the knowledge in music theory to create a whole song from their melodies

Language: Python - Size: 1.26 MB - Last synced: 18 days ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 1

NourozR/Stock-Price-Prediction-LSTM

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Language: Python - Size: 37.1 KB - Last synced: 17 days ago - Pushed: about 1 year ago - Stars: 527 - Forks: 210

jeyadosstimothy/ML-on-CrisisLex

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

Language: Python - Size: 4.41 MB - Last synced: 18 days ago - Pushed: over 5 years ago - Stars: 3 - Forks: 0

Ahmed-Ashraf-Khalil/Stock-Prediction

Predicting Stock Close Prices :Time series forecasting with high accuracy

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davidrsch/LSTM_RE

App to carry out simple experiments of the use of LSTM networks in time series forecasting. It allows users to solves univariate and multivariate regression problems by testing different set of features, and comparing the effectiveness of the obtained results.

Language: R - Size: 7.53 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 1 - Forks: 1

LuluW8071/Text-Sentiment-Analysis

Exploring Text Sentiment Datasets: Fine-Tuning BERT and LSTM for Comparative Analysis

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lorenzobalzani/nlp_projects 📦

This repository contains assignments, the final course project, and the project work assigned for the Natural Language Processing (NLP) course within the Artificial Intelligence Master's program.

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efantinatti/MAFAULDA_SEP769

Machinery Fault Database

Language: Jupyter Notebook - Size: 11.3 MB - Last synced: 14 days ago - Pushed: almost 3 years ago - Stars: 6 - Forks: 0

gokulnpc/Toxic-Comment-Classifier

This project employs a deep neural network architecture for the classification of toxic comments, utilizing the Kaggle competition dataset from the Jigsaw Toxic Comment Classification Challenge.

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Srijha09/Solar-Energy-Forecasting

Forecasting the Solar Energy Using Machine Learning

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Srijha09/An-attempt-to-identify-cybersex-crimes-through-NLP-

Language: Jupyter Notebook - Size: 93.8 KB - Last synced: 21 days ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

Srijha09/Adverse-Event-Detection-in-Product-feedback-Verbatim

Language: Jupyter Notebook - Size: 158 KB - Last synced: 21 days ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 0

benman1/deep_learning_net

This is a c++ deep learning network implementation that runs on cpu and gpu

Language: C++ - Size: 6.84 KB - Last synced: 21 days ago - Pushed: about 8 years ago - Stars: 1 - Forks: 0

harshuljain13/OCR

Optical character recognition Using Deep Learning

Language: Jupyter Notebook - Size: 7.5 MB - Last synced: 21 days ago - Pushed: almost 6 years ago - Stars: 29 - Forks: 7

akshay-rakheja/Driver-Behavior-Learning

A Vanilla LSTM model is used to predict distance to preceding vehicles using data from a Video Logging Tool (VLT)

Language: Python - Size: 1.6 MB - Last synced: 21 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

apallath/torch_models

Basic deep learning models in PyTorch.

Language: Jupyter Notebook - Size: 95.7 MB - Last synced: 21 days ago - Pushed: almost 4 years ago - Stars: 10 - Forks: 4

AI4Finance-Foundation/Financial-News-for-Stock-Prediction-using-DP-LSTM-NIPS-2019

Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.

Language: Python - Size: 65.4 MB - Last synced: 8 days ago - Pushed: over 3 years ago - Stars: 32 - Forks: 23

Zubayear/Machine-Learning

Machine learning projects i have done so far in various training program and at the University.

Language: Jupyter Notebook - Size: 2 MB - Last synced: 22 days ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

salimt/Ankara-House-Price-Prediction-Analysis

Predicting house prices using Ridge, SVR, GBR, XGBoost, LightGBM, Random Forest and Stacked CV

Size: 7.81 KB - Last synced: 23 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

mrosol/Nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

Language: Python - Size: 213 KB - Last synced: 23 days ago - Pushed: about 2 months ago - Stars: 55 - Forks: 12

smousavi05/EQTransformer

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Language: Python - Size: 50.1 MB - Last synced: 22 days ago - Pushed: 5 months ago - Stars: 279 - Forks: 142

kashish45/Text-Generation-Using-Tensorflow

Language: Jupyter Notebook - Size: 32.2 KB - Last synced: 23 days ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

gaurav0628/StockCorrelationPredictor

A Stock Price Predictor Model based on latest Recurrent Neural Networks and Long Short Term Memory machine learning models.

Language: Jupyter Notebook - Size: 11.2 MB - Last synced: 23 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

scorpionhiccup/StockPricePrediction

Stock Price Prediction using Machine Learning Techniques

Language: Jupyter Notebook - Size: 7.53 MB - Last synced: 23 days ago - Pushed: 9 months ago - Stars: 1,213 - Forks: 410