Plzzzy's starred repositories
DataScience_MachineLearning
Analysing Big Data(vibration, force and temperature) and designing an AI model(ANN based) to predict the surface roughness of a manufactured product
Airbnb_price_prediction
LSTM-ANN prediction model
AmazonResourcePredictAnn
Used Ann Model
Machine-Learning-Database-Prediction
Customer Database Prediction with Deep Learning using Artificial Neural Networks (ANN).
Mortality-Prediction-in-ICU-using-ANN-89-percent
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 variables were recorded at least once during the first 48 hours after admission to the ICU. Some example of 42 variables for a patient are Cholesterol, TroponinI, pH, Bilirubin, etc. Feature selection has been very much focussed upon. Not all 42 variables were trained but a best set of selected features after trials of numerous sensible combinations to obtain maximum model performance and avoid overfitting. Used metrics like precision and recall along with accuracy and explained why precision is more significant than recall in a brief way. The model architecture has been tuned repeatedly and was tested for different hyperparameters to obtain an accuracy of 89 % and with a precision of 80 %.
Adult-Annual-Income-Prediction
采用adult数据集，该数据从美国1994年人口普查数据库抽取而来，可以用来预测居民收入是否超过50K$/year。该数据集类变量为年收入是否超过50k$，属性变量包含年龄，工种，学历，职业，人种等重要信息，14个属性变量中有7个类别型变量。
Digit-Recognition
Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set
ADELE
ADELE is a dataset of vibration in a beam that exhibits nonlinear behavior even in the healthy condition, and it is exposed to a type of damage that causes the structure to display a nonlinear behavior with a different nature than the initial one. This experiment was conducted by the SHM lab at the University of California San Diego with collaboration at SHM Lab UNESP/Ilha Solteira.
seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
PIEZOELECTIC-COLLOCATED-PATCHES-ON-BEAM
active vibration control using piezoelectric collocated patches
IntroNeuralNetworks
Introducing neural networks to predict stock prices
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