model-accuracy

There are 0 repository under model-accuracy topic.

TrainingByPackt / Applied-Deep-Learning-with-Keras
Solve complex real-life problems with the simplicity of Keras
python keras deep-learning neural-networks machine-learning cross-validation wrapper model-evaluation model-accuracy cnn-keras rnn sequential-models
Language:Jupyter Notebook 17
alive2002yb / Vehicle_Tracking_Input
Android app for vehicle tracking & prediction with Jetpack Compose. Features data collection, visualization, & ML integration for training & predictions.
compose data-collection data-visualization flask google-sheets google-sheets-api jetpack jetpack-compose jetpack-navigation machine-learning model-accuracy prediction-system retrofit2 sensor vehicle-tracking
Language:Kotlin 4
sciustea / Improve-Machine-Learning-Model-Accuracy_Feature-Engineering_Python
Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;
feature-engineering machine-learning machine-learning-model model-accuracy testing-data training-data classification-algorithm jupyter-notebook machine-learning-algorithm python data-science
Language:Jupyter Notebook 1
zhousrhhh / Credit_Rating_Modeling
Built various machine learning models for banks to develop effective credit rating
credit-rating loan banking finance machine-learning one-hot-encoding python feature-engineering label-encoding sgd-classifier auc average-precision confusion-matrix f1-score gradient-boosting-classifier model-metrics precision random-forest-classifier recall model-accuracy
Language:Jupyter Notebook 1
ASHWarriors / Catch95
Mask and Type of Mask Detection
model-accuracy mask
Language:CSS 0
deepakrameshgowda / TELECOM_CHURN
Designing strategies to pull back potential churn customers of a telecom operator by building a model which can generalize well and can explain the variance in the behavior of different churn customer. Analysis being done on large dataset which has lot of scope for cleaning and choosing the right model for prediction.
data-analysis data-analytics data-cleaning data-science decision-trees jupyter-notebook machine-learning modelling predictive-analytics predictive-modeling python supervised-learning telecom-churn-analysis telecom-churn-prediction model-accuracy model-validation numpy pandas
Language:Jupyter Notebook 0
jacodetunde / Neural_Network_Charity_Analysis
This project creates a binary classifier that is capable of predicting whether applicants will be successful if funded by the Alphabet Soup Charity Program
deep-learning binary-classifiers classification model-accuracy neurons
Language:Jupyter Notebook 0
ardbramantyo / MachineLearning-Employee-Attrition
The project tries to develop & compare 3 different Machine Learning methods that could better predict in employee attrition.
artificial-neural-networks logistic-regression machine-learning keras-tensorflow random-forest confusion-matrix model-accuracy deep-learning
Language:Jupyter Notebook