#Dataset Information:
The training archive contains 25,000 images of dogs and cats. Train your algorithm on these files and predict the labels (1 = dog, 0 = cat)
#Download link:
#Environment: Google Colab
#Libraries: pandas, matplotlib, keras, tensorflow, scikit-learn,
Designed and implemented a Cat vs. Dog image classifier using Convolutional Neural Networks (CNNs) and deep learning techniques.
Leveraged TensorFlow and Keras for model development, achieving robust performance in classifying images of cats and dogs.
Preprocessed and augmented a sizable dataset to improve model generalization and mitigate overfitting.