Discover @AlinaBaber Open Source projects

Alina Baber (@AlinaBaber)

AlinaBaber

Stars
67
Global Rank 276,141 (Top 10 %)
Followers 28
Following 4
Registered almost 9 years ago
Most used languages

MATLAB
58.3 %

Jupyter Notebook
25.0 %

HTML
8.3 %

Python
8.3 %
Location 🇵🇰 Pakistan
Country Total Rank 3,618
Country Ranking

MATLAB
2

Jupyter Notebook
382

Python
655

HTML
1,249

NeuralNetwork-Fuzzy-logic-based-self-tuned-PID-controller-for-Autonomous-underwater-vehicle-MatLab

ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab

Wireless-ad-hoc-network-FANET-Simulation-MatLab

Arabic-Speech-Recognition-by-Machine-learning-and-feature-extraction-API

Liver-Tumor-Segmentation-Detection-by-ResUNET

Jupyter Notebook

Job-Portal-Django-WebApp-Resume-Analysis-Scoring-NLP-ML

Speech-Emotions-Recognition-by-feature-extraction-and-machine-learning-MatLab

Fruit-Quality-Recogntion-MachineLearning-ImageProcessing-MatLab

Speech-Emotions-Recognition-by-feature-extraction-and-Deep-learning-MatLab

Berlin-Data-Voice-Gender-Recognition-by-feature-extraction-and-machine-learning-MatLab

Arabic-Speech-Recognition-by-Machine-learning-and-feature-extraction

Jupyter Notebook

Customer-Reviews-Analysis-with-Machine-Learning-Deep-Learning---STV-Voting-Method

In this project, the user writes a review of a cosmetics product, and Sentiment Analysis detects positive or negative sentiment in the text, which is frequently used to improve the business's reputation among their customers. We developed Robust STV Modelling algorithm to improve the products reviews sentiment analysis with Natural Language Process

Jupyter Notebook