test-train-split

There are 0 repository under test-train-split topic.

smsraj2001 / CAT-DOG-IMAGE-CLASSIFICATION
A Machine learning project on Cat v/s Dog image classification using CNN, VGG-16 and VGG-19 in Python
cnn-classification deep-learning google-colab image-classification image-processing kaggle-dataset keras-tensorflow machine-learning matplotlib numpy-library python310 recognizes-images tensorflow2 test-train-split vgg vgg16 vgg19
Language:Jupyter Notebook 1
smsraj2001 / CUSTOMER-CHURN-PREDICTION
A Machine learning based approach on customer churn analysis in python.
ann customer-churn-prediction decision-tree-classifier id3-algorithm jupyter-notebook machine-learning svm test-train-split
Language:Jupyter Notebook 1
loreeugene / Property-Investment-Decision
This project is a hands-on exploration of multiple regression modeling techniques applied to real-world challenges in the context of real estate. It aims to understand how different features influence house or property prices. By utilizing multiple regression models, the project provides insights, decision support, and enhances data science skills.
cross-validation data-science explo linear-regression model multiple ols test-train-dataset test-train-split
Language:Jupyter Notebook 0
emeralddawns / Optimize-Neural-Network
Examples of techniques that can be used to optimize neural network models (some techniques can apply more generally).
keras tensorflow test-train-split standard-scaler keras-tuner deep-learning neural-network
Language:Jupyter Notebook
mychele-larson / Deep_Learning_Challenge
Module 21 Challenge
data-preprocessing deep-neural-networks epochs jupyter scale tensorflow test-train-split test-training
Language:Jupyter Notebook

test-train-split

smsraj2001 / CAT-DOG-IMAGE-CLASSIFICATION

smsraj2001 / CUSTOMER-CHURN-PREDICTION

loreeugene / Property-Investment-Decision

emeralddawns / Optimize-Neural-Network

mychele-larson / Deep_Learning_Challenge