machine learning
Projects with this topic
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Research, code, algorithms and all related to artificial intelligence
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Compute confidence intervals for ranks to compare the results of algorithms.
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Environment for evaluation of explainability methods in data streams
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This project aims to leverage an extensive dataset of flight booking records sourced from the "Ease My Trip" website to develop predictive models for estimating ticket prices. With a focus on incorporating various influencing factors such as airline choice, travel class, booking lead time, and other significant attributes, our goal is to create a robust analytical framework that enables stakeholders to gain insights into flight pricing dynamics.
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This project aims to leverage the Ames Housing Price Dataset to develop an accurate predictive model for estimating residential property sale prices in Ames, Iowa. By analyzing various property features and their relationships to sale prices, the project seeks to uncover insights that can inform both buyers and sellers in the housing market.
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This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.
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This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.
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This project explores the application of Support Vector Machines (SVM) in classifying human cell records to predict the malignancy of breast cancer samples. By training an SVM model on a dataset of breast cancer features, the goal is to accurately differentiate between benign and malignant cases. This research aims to contribute to the development of early detection and diagnosis methods for breast cancer.
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This project aims to develop a dynamic pricing model for a ride-sharing service that can accurately predict optimal fares. The model will incorporate various factors, including demand patterns and supply availability, to ensure fair and efficient pricing for riders and drivers.
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Real Estate Price prediction plays a crucial role in both the real estate market and the economy at large. For investors, developers, and homeowners, accurate price predictions facilitate informed decision-making, investment planning, and risk management.
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Mainly for AI and Quantum development along with other IT related product and services
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MAGI-CHRISTI
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Markdown format of www.kali.org/docs/
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Notebooks for Pandas, Spark and Python experiments.
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Neural networks, NLP sentiment analysis, Logistic Regression Classification, ...
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Machine Learning powered live captions application for Android.
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Feature Engineering_Diabetes Prediction
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