Jovrys's starred repositories
correlation
(deprecated) Data correlation analysis
Multivariate-Regression
Analysed data set and established a relation between a dependent variable and six independent variables using R. Based on the P value, R-Square value, F-statistic value and the correlation trends, a final model is designed discarding the statistically insignificant variables. The final model produced is a best fit and its residual analysis is done using a Q-Q plot and chi-square test.
housing_price_prediction
used machine learning models such as simple linear regression, lasso, ridge, Gradient Boosting Regressor to find the best highest R2 score, and apply that model with our prediction
003_Machine-learning_HousingPrice
Deployed machine learning models using Kaggle Data set to predict the housing prices in Ames, Iowa, applied Linear regression, Elastic Net, random forests, and gradient boosting models to enhance prediction score(accuracy)
Loan_Prediction_by_ensemble_machine_learning_techniques
Used ensemble methods such as boosting, voting, Bagging
ML-mastery
Code from Jason Brownlee's course on mastering machine learning
Multivariate-Time-Series-Forecasting
Multivariate Time Series Forecasting with LSTMs in Keras
keras-tensorflow-financial-time-series-signal-forecast
Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
lstms_for_predictive_maintenance
LSTMS for Predictive Maintenance
Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
LSTM_learn
a implement of LSTM using Keras for time series prediction regression problem
TensorFlow-Time-Series-Examples
Time Series Prediction with tf.contrib.timeseries
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Air_Pollution_Forcast_Beijing
基于Keras的LSTM多变量时间序列预测
stationaRy
Get hourly meteorological data from one of thousands of global stations
LSTM-Time-Series
Long short term memory network in Python using Keras.
DeepLearning_Financial
Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
Surge-Forecast-with-RNN
Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the future.
Surge_Forecast_ExtraTrees
Surge Forecast using ExtraTreesRegressor. I'm doing time series forecasting without actually having to do time series analysis, it works better than I had hoped.
LSTM-GA-StockTrader
A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods
LSTM---Stock-prediction
A long term short term memory recurrent neural network to predict forex data time series