AI
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Updated
Jun 9, 2023 - Python
AI
Salary Prediction API using Flask predicts salaries for freshers joining organizations based on factors like past experience, company switches, courses completed, and academic marks. This Flask-based API allows users to input their details and receive a salary prediction. With no user interface, it's designed for integration into other applications
Global Dispatch is the one-stop solution for handling warehousing and supply chain management problems of the various parties involved in international shipping.
detect the presence of Parkinson’s Disease in individuals using various factors. We used an XGBClassifier for this and made use of the sklearn library to prepare the dataset. This gives us an accuracy of 94.87%, which is great considering the number of lines of code in this python project.
Our project employs machine learning to pinpoint phishing URLs with 97.4% accuracy, leveraging HTTPS and website traffic as critical indicators. Insights into features like AnchorURL enhance cybersecurity strategies, showcasing the power of AI in combating online threats.
Predicting the outcome of a football match.
All details in README.md
Predicting Behaviour of Bug Finding Tools KLEE and AFL
In this project I used basic classification algorithms including random forest, xgboost and decision tree to reach the best solution, finding out how many survived in the titanic accident. I use Kaggles free GPUs and Datasets in this project. I used different feature engineering techniques to clean my data
Analytics India Hackathon 2022
Developed 4 different machine learning models for recognising American Sign Language
Parameters of extreme gradient boosting model are fine tuned to achieve better accuracy
Machine learning Algorithms
ALL Classifier Algorithm
Agri AI is an advanced precision agriculture platform designed to aid farmers and agricultural enthusiasts in making more informed decisions regarding crop management, pest control, and yield prediction. At its core, the platform utilizes sophisticated machine learning algorithms, specifically the Random Forest and XGBoost models, to analyze data
A XgBoost based Cricket Score Predictor
Learning to rank is an algorithmic technique employing machine learning models to solve ranking problems
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