Pinned Repositories
Amazon-Reviews-Sentiment-Analysis
utilizing various libraries to perform sentiment analysis on Amazon reviews, extracting emotions, attitudes, and opinions from the text and visualizing the results
API-Endpoints-and-API-Parameters
building API endpoints and using API parameters
Bayes-Classifier-From-Scratch
implementing a Naive Bayes classifier from scratch in Python
Bert-Mail-Classification
Detecting the spam mails with BERT (a pre-trained model).
Breast-Cancer-Classification_with_Neural_Network
Breast Cancer Classifier: Accurate neural network model for detecting and categorizing breast cancer cases
Dog-and-Cat-Classification-using-Transfer-learning-mobilenet-v2-
An implementation of transfer learning using MobileNet V2 architecture for efficient classification of dog and cat images.
Emotion-Detection-CNN
training a Convolutional Neural Network (CNN) to detect emotions in images of faces using Keras and TensorFlow in Python
Face-Mask-Detection-CNN
Implementing a face mask detection model using a convolutional neural network. The model is trained on a dataset of images with and without masks, and can classify whether a person in an input image is wearing a mask or not. The code includes data preprocessing, model training, and prediction on
Fashion-Gan
FashionGAN utilizes Generative Adversarial Networks (GANs) and TensorFlow to create hyper-realistic fashion images, combining AI techniques with diverse style elements. This innovative approach aims to revolutionize the fashion industry by empowering users to explore new frontiers of creativity and expressiveness.
Object-Recognition-using-ResNet50
A Python implementation of object recognition using a pre-trained convolutional neural network called ResNet50. The goal of the project is to recognize objects in images accurately. To achieve this, the code uses various libraries such as NumPy, Pandas, PIL, Matplotlib, and OpenCV.
Nargesmohammadi's Repositories
Nargesmohammadi/Fashion-Gan
FashionGAN utilizes Generative Adversarial Networks (GANs) and TensorFlow to create hyper-realistic fashion images, combining AI techniques with diverse style elements. This innovative approach aims to revolutionize the fashion industry by empowering users to explore new frontiers of creativity and expressiveness.
Nargesmohammadi/Object-Recognition-using-ResNet50
A Python implementation of object recognition using a pre-trained convolutional neural network called ResNet50. The goal of the project is to recognize objects in images accurately. To achieve this, the code uses various libraries such as NumPy, Pandas, PIL, Matplotlib, and OpenCV.
Nargesmohammadi/Bert-Mail-Classification
Detecting the spam mails with BERT (a pre-trained model).
Nargesmohammadi/Dog-and-Cat-Classification-using-Transfer-learning-mobilenet-v2-
An implementation of transfer learning using MobileNet V2 architecture for efficient classification of dog and cat images.
Nargesmohammadi/Emotion-Detection-CNN
training a Convolutional Neural Network (CNN) to detect emotions in images of faces using Keras and TensorFlow in Python
Nargesmohammadi/Face-Mask-Detection-CNN
Implementing a face mask detection model using a convolutional neural network. The model is trained on a dataset of images with and without masks, and can classify whether a person in an input image is wearing a mask or not. The code includes data preprocessing, model training, and prediction on
Nargesmohammadi/Amazon-Reviews-Sentiment-Analysis
utilizing various libraries to perform sentiment analysis on Amazon reviews, extracting emotions, attitudes, and opinions from the text and visualizing the results
Nargesmohammadi/API-Endpoints-and-API-Parameters
building API endpoints and using API parameters
Nargesmohammadi/Bayes-Classifier-From-Scratch
implementing a Naive Bayes classifier from scratch in Python
Nargesmohammadi/Breast-Cancer-Classification_with_Neural_Network
Breast Cancer Classifier: Accurate neural network model for detecting and categorizing breast cancer cases
Nargesmohammadi/covid-19_trendAnalysis
analyzing the trend of COVID-19 cases and deaths using Python libraries such as Pandas, Matplotlib and Seaborn
Nargesmohammadi/Send-Email-smtplib-
sending emails using Python's built-in smtplib library. (100 Days of Python Course from Udemy)
Nargesmohammadi/Workout_Tracking_using_Google_Sheets
tracking workout data using Google Sheets API in Python
Nargesmohammadi/ChatBot
Nargesmohammadi/Comment-Toxicity-Model
Identifying and classifying toxic online comments
Nargesmohammadi/Data-Science-Machin-Learning-Deep-learning-Course
Datascience,Machine Learning and Deep Learning course from Udemy
Nargesmohammadi/Deep-Audio-Classification
classifying birdcalls and counting how many are in an audio clip
Nargesmohammadi/Flash-Card-App-Capstone
Building a simple English-French flash card app.
Nargesmohammadi/Games-and-application
Day22-30 of 100 Days of Python Course from Udemy
Nargesmohammadi/Games-and-Coffee-Machine
Day11-20 of 100 Days of Python Course from Udemy
Nargesmohammadi/Machine-Learining-Projects
A collection of predictive modeling endeavors, spanning domains like sales, car prices, diabetes, fake news, gold prices, heart disease, real estate, loans, medical insurance, sonar analysis, and wine quality evaluation.
Nargesmohammadi/Machine-Learning-Projects
A collection of machine learning projects
Nargesmohammadi/project
Nargesmohammadi/Project-5
Nargesmohammadi/project-7
Nargesmohammadi/Project2
Nargesmohammadi/project3
Nargesmohammadi/Project4
Nargesmohammadi/Shakespeare-Text-Generation
A TensorFlow-based language modeling code repository that utilizes GRU architecture to generate text based on Shakespeare's works. The code includes data preprocessing, model building, training, and text generation functionalities.
Nargesmohammadi/Soudex