Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)
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Updated
Jan 2, 2024 - Python
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)
Skip-Gram Model From Scratch
Small tools for csv file processing (onehot encoding, format checking and converting to libsvm).
Category transformation
This project focus on building different machine learning models to make predictions on employee attrition and performance
A model for predicting the selling price of a used car using machine learning algorithms. This model is deployed in the Heroku Cloud Platform.
Encoding: converting categorical data into a numerical data
Convert a unstructured array into a stuctured dataframe.
Diacritics are short vowels with a constant length that are spoken. The same word in the Arabic language can have different meanings and different pronunciations based on how it is diacritized. In this project, we implement a pipeline to predict the diacritic of each character in an Arabic text using Natural Language Processing techniques.
Implementing Semantic Segmentation on Satellite images using U-Net architecture
Deep Learning -Artificial Neural Network
A recommendation system created for H&M created with the help of EDA(Exploratory Data Analysis) and ALS (Alternative Least Squares) which optimizes a users recommendations taking into considerations an account`s view history and uses matrix optimization to give the best possible recommendations.
Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.
Deep Learning library.
In this project we predict the forest cover type using the cartographic variables in the training/test datasets.
We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.
This repository is a collection of basic code templates for Data Preparation. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
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