Pinned Repositories
Speech-translation
Speech recognition, language detection, translation, and speech synthesis
Rice-image-classification
This project implements a CNN model using TensorFlow and PyTorch to classify images of five rice varieties, achieving 98% and 99% accuracy. The models are trained and evaluated on the Rice Image Dataset, with images preprocessed and divided into training, validation, and test sets.
Data-science-Universities
This project aims to analyze university rankings using data science techniques. The code is written in Python and utilizes various libraries for data manipulation, visualization, and geolocation.
Socioeconomic-and-health-factors-use-K-mean-clustering-with-PCA
The notebook contains information about a project related to analyzing socioeconomic and health factors to categorize countries by their level of development. The goal of the project is to strategically allocate $10 million in aid to countries most in need.
Bank-Loan-offer-Supervised-learning
Customer identification and approach are crucial for companies. They analyze customer characteristics to predict acceptance of offers. The goal is to develop an accurate model to predict acceptance or rejection of loan offers from potential customers. This helps in making informed proposals to individuals.
Data-science---England-weather
Mobile-price-Unsupervised-learning
MohammadarefAhmadpoor
Config files for my GitHub profile.
Web-scraping-with-Selenium-
Using selenium library to web scraping a random webpage.
MohammadarefAhmadpoor's Repositories
MohammadarefAhmadpoor/MohammadarefAhmadpoor
Config files for my GitHub profile.
MohammadarefAhmadpoor/Speech-translation
Speech recognition, language detection, translation, and speech synthesis
MohammadarefAhmadpoor/Rice-image-classification
This project implements a CNN model using TensorFlow and PyTorch to classify images of five rice varieties, achieving 98% and 99% accuracy. The models are trained and evaluated on the Rice Image Dataset, with images preprocessed and divided into training, validation, and test sets.
MohammadarefAhmadpoor/Mobile-price-Unsupervised-learning
MohammadarefAhmadpoor/Bank-Loan-offer-Supervised-learning
Customer identification and approach are crucial for companies. They analyze customer characteristics to predict acceptance of offers. The goal is to develop an accurate model to predict acceptance or rejection of loan offers from potential customers. This helps in making informed proposals to individuals.
MohammadarefAhmadpoor/Socioeconomic-and-health-factors-use-K-mean-clustering-with-PCA
The notebook contains information about a project related to analyzing socioeconomic and health factors to categorize countries by their level of development. The goal of the project is to strategically allocate $10 million in aid to countries most in need.
MohammadarefAhmadpoor/Data-science-Universities
This project aims to analyze university rankings using data science techniques. The code is written in Python and utilizes various libraries for data manipulation, visualization, and geolocation.
MohammadarefAhmadpoor/Data-science---England-weather
MohammadarefAhmadpoor/Web-scraping-with-Selenium-
Using selenium library to web scraping a random webpage.