nargesmohammadi Goto Github PK
Name: Naarges Mohammadi
Type: User
Bio: Bsc. student of computer engineering
Location: Iran, Tehran
Name: Naarges Mohammadi
Type: User
Bio: Bsc. student of computer engineering
Location: Iran, Tehran
utilizing various libraries to perform sentiment analysis on Amazon reviews, extracting emotions, attitudes, and opinions from the text and visualizing the results
building API endpoints and using API parameters
implementing a Naive Bayes classifier from scratch in Python
Detecting the spam mails with BERT (a pre-trained model).
Breast Cancer Classifier: Accurate neural network model for detecting and categorizing breast cancer cases
Identifying and classifying toxic online comments
analyzing the trend of COVID-19 cases and deaths using Python libraries such as Pandas, Matplotlib and Seaborn
Datascience,Machine Learning and Deep Learning course from Udemy
classifying birdcalls and counting how many are in an audio clip
An implementation of transfer learning using MobileNet V2 architecture for efficient classification of dog and cat images.
training a Convolutional Neural Network (CNN) to detect emotions in images of faces using Keras and TensorFlow in Python
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
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.
Building a simple English-French flash card app.
Day22-30 of 100 Days of Python Course from Udemy
Day11-20 of 100 Days of Python Course from Udemy
100 Days of Python Course from Udemy
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.
A collection of machine learning projects
Config files for my GitHub profile.
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.
sending emails using Python's built-in smtplib library. (100 Days of Python Course from Udemy)
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.