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Linear-Regression-From-Scratch-Python
The repo contains two Implementation, first Implement linear regression from scratch and secondly designed the linear regression by using PyTorchabstractive-Text-summarization
Pytorch abstractive text summarizationRobertA-Movie-Reviews-Text-Classification
This is a mini project, in which i designed the ROBERTA model with PyTorch for sentiment analysis, and the dataset I used is IMDb-Movie-Review. The data contain raw text and its sentiment.Flight-prediction-Predictive-model
The-Social-Dilemma-Tweets-Text-Classification
State-of-The-Art-NER-models
Start of the art pre-trained Named entity extraction modelMulti-class-Sentiment-Classification
Recommendation-System-Papers
All the state of the art papers related to the recommendation systemNamed-Entity-Recognition-Medical-Records
Named Entity Recognition system for analyzing the CORD 19 Research Challenge dataset.Python-kick-Start-Repo
Emotions-Text-classifier
Named-Entity-Recognition-GMB-Dataset
The project is about Named-entity recognition which locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages.Text-summarization
Wisconsin-Breast-Cancer-classification
it's a mini-project of binary classification the project involves data exploratory analysis, different ML, and ensemble models.Email-Classifier-Deployment
Neural-network-from-scratch
Designed the neural network from scratch with NumPy and Pandas.Recommendation-system
This is a mini project that I worked on, the project is about a movie recommendation system. The system will be returned the 10 most relevant search results according to the search query.portfolio-aftab.github.io
Coronavirus-Tweets-NLP--Multi-class-Text-Classification
The project is about multi classification problem, the data set contained the raw tweets provide by different age group of people. This repository contain the code for pre-processing and applying machine learning techniques to predict sentiments of the user.Sentiment-analysis-LSTM
This is a mini project, in which I designed the model for sentiment analysis, and the dataset I used is: Movie-Review. The data contain raw text and its sentiments.Neural-Network-Optimization-using-Genetic-Algorithm-from-scratch
Neural network optimzation using GAPytorch-image-classification-mnist-dataset
Neural-network-Optimization-by-particle-swarm-optimization
Artificial neural networks optimization using particle swarm optimization algorithms.particle-swarm-optimization-from-scratch-using-numpy
This is repo contains the implementation of Particle Swarm Optimization (PSO) through Python!Love Open Source and this site? Check out how you can help us