BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!
☆71Sep 26, 2018Updated 7 years ago
Alternatives and similar repositories for New-York-Stock-Exchange-Predictions-RNN-LSTM
Users that are interested in New-York-Stock-Exchange-Predictions-RNN-LSTM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The product being developed is a mobile application for android operating system. It is an emotion and pain assessment tool and can be in…☆10Oct 2, 2018Updated 7 years ago
- The voices of different people are tested for 20 properties. These properties include mean-frequency, standard deviation, kurtosis, skew,…☆11May 21, 2018Updated 8 years ago
- The data used for the challenge consist of records from 12,000 ICU stays. ICU stays of less than 48 hours have been excluded.Up to 42 var…☆13Jun 6, 2018Updated 8 years ago
- Kaggle top performer(Grandmaster) had a score of 0.10021. I had a self validation score of 0.10874 and a public score of 0.12516. Rossman…☆16Oct 2, 2018Updated 7 years ago
- Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.☆16Jun 17, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The famous Cats-vs-Dogs dataset. I have used a self laid ConvNet to classify the image into 2 classes either a Dog or a Cat. The images u…☆11Aug 24, 2018Updated 7 years ago
- A Simple Calculator with basic Arithmatic operations and other utilities☆11Oct 3, 2020Updated 5 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Jan 3, 2018Updated 8 years ago
- Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples.…☆12Aug 29, 2018Updated 7 years ago
- Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit…☆14Oct 29, 2019Updated 6 years ago
- In Agriculture Price Monitioring , I have used data provided by open government site data.gov.in, which updates prices of market daily . …☆50Oct 2, 2018Updated 7 years ago
- Stock analysis and prediction - fundamental, quantitative, technical analysis and machine learning.☆13May 1, 2023Updated 3 years ago
- Time Series Forecasting using Recurrent Neural Network - LSTM model using Keras Library for deep learning.☆17Aug 3, 2017Updated 8 years ago
- Web app - FX Trading Simulation and Historic Data Visualisation☆10Jun 29, 2016Updated 10 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Apply machine learning algorithms in the financial market. Ensemble Model, including XGBoost, LightGBM, CNN, ResNet and LSTM.☆11Jun 5, 2022Updated 4 years ago
- The Red Wine Quality dataset from kaggle. Data is provided of the composition of the wine having different chemicals. I have used pandas …☆19Jul 6, 2018Updated 8 years ago
- LSTM stock prediction and backtesting☆14Jan 11, 2020Updated 6 years ago
- The dataset is Flower Recognition on Kaggle. The dataset consists of 4232 images each of different pixel values. Each of the image can be…☆20Oct 4, 2019Updated 6 years ago
- BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from…☆104Apr 22, 2023Updated 3 years ago
- Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn…☆18Aug 22, 2018Updated 7 years ago
- It is a live KLSE index and components tracking dashboard!☆15Nov 29, 2018Updated 7 years ago
- Catalogue to browse FCF Real-Estate Monaco properties for sale & renting (2016)☆20Feb 20, 2020Updated 6 years ago
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆16Jul 28, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Predicting stock market prices using RNN with LSTM☆12Oct 28, 2019Updated 6 years ago
- [Testing on dummy ac] Using Oanda API for current forex data and order creation. Fetched data used for machine learning model training (S…☆27Nov 12, 2018Updated 7 years ago
- 这是一个基于LSTM-RNN算法的线上金融股票价格走势预测的小项目，使用tensorflow框架实现。☆45Sep 12, 2018Updated 7 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆49Nov 30, 2017Updated 8 years ago
- ☆14Mar 26, 2017Updated 9 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆63Jul 20, 2020Updated 6 years ago
- Deep learning in time series analysis☆13May 21, 2018Updated 8 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Jun 25, 2018Updated 8 years ago
- The IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle. I have first performed Exploratory Data Analysis on the da…☆53Jun 14, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Visualiser for Dijkstra built using Angular☆11Mar 7, 2023Updated 3 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆26Mar 29, 2024Updated 2 years ago
- An important problem in blood diagnostics is classifying different types of blood cells. Various samples of dead WBCs have been used to i…☆17Apr 24, 2018Updated 8 years ago
- LSTM with exogenous variables for forecasting☆11Apr 19, 2018Updated 8 years ago
- 3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner…☆23Jun 22, 2018Updated 8 years ago
- Quick experimentation of Bollinger Bands trading strategy over Bitstamp BTCUSD using Pandas and Matplotlib 🐍☆21Jul 14, 2018Updated 8 years ago
- A trade bot for cryptocurrencies powered by machine learning☆34Apr 9, 2019Updated 7 years ago