GitHub topics: sklearn-model

Repositories

YousefAlaaAli/Titanic

Titanic - Predicting Survival Using Machine Learning

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IngridASilva/ias-sty_final-project

Development of a project for the thesis “AI in the reduction of cognitive biases (Anchoring Bias) in Brazilian consumption", with the support of Python and Machine Learning.

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Ali-jalil88/Mlflow-Bank-Marketing

Bank-Marketing dataset using Mlflow

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My Project on Breast Cancer Prediction using a Logistic Regression Model. In this project, I developed a predictive model to assist in breast cancer risk based on various input features. This work has strengthened my understanding of machine learning and data analysis techniques. Feel free to explore the code and insights!

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vinpap/symbolic-learn

A symbolic regression model

Language: Cython - Size: 216 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

UznetDev/Kabr-prediction

This model is designed to determine the age of a crab based on its other physical characteristics. Using this model, it is possible to determine the age of a crab through its other data!

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chandkund/Stock-Price-Prediction-

Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.

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Rachnathakur1997/Python_Project

This github repository contains practice assignments on Python !

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Sans03J/Car-Price-Prediction

A diverse dataset comprising various car attributes such as mileage, model year, brand, and more, our predictive model employs to accurately forecast the prices of audi car. From data preprocessing to model training and evaluation, our repository provides code implementation, enabling users to understand and replicate our results seamlessly.

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SatyaA26/Lasso-and-Inductive-Conformal-Prediction-Algorithm

Lasso and Inductive Conformal Prediction Algorithm

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alaa-aleryani/Credit_Risk_Classification

We used various techniques to train and evaluate a model based on loan risk. We used a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

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e19931107/Scikit_Learn-NBA

Language: Python - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Vaidehinaik11/Gender_classification

Classifying the person as male or female based on hairs, forehead size, nose shape, lips shapes, ect. using ML models

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NoSleepTillLambos/FPL

Model designed to predict premier league games outcomes based on data from the year 1993 - 2023

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MezbanS/Mercedes-Benz-Greener-Manufacturing

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

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