Amine Mami's repositories
Svm-GridsearchCV
The code uses an SVM classifier to classify data from a CSV file. It loads data, checks for missing values, splits it for training/testing, performs grid search to find optimal SVM hyperparameters, trains SVM with best parameters, evaluates accuracy, prints classification report and confusion matrix.
coffee-shop-order-form
Responsive HTML/CSS code for a coffee shop order form. Branded navigation, item listings, and checkout. User-friendly design for placing orders on various devices. Usage: Clone/fork for integration. Customize styles and content to suit specific project needs.
Dogs-vs-cats-Kaggle-Dataset
A CNN-based deep learning model from ImageNet was utilized to extract image features. These were stored in a CSV file. Using these features, an SVM model was trained on 70% of the data to classify cat and dog images, then tested on the remaining 30%.
NaiveBayes_With_Vectorizers
The code performs text classification using Naive Bayes models on a dataset. It preprocesses data, uses 3 vectorization techniques (CountVectorizer, TfidfVectorizer, ), and evaluates 9 models. Each model's accuracy, classification report, and confusion matrix are printed. Valuable for learning text classification and experimenting with models.
results-summary-component-challenge
an html \ css coding challenge, the challenge is to convert a ui design to a real code>
TheCongres
Config files for my GitHub profile.