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Projects in Awesome Lists tagged with logistic-regression-algorithm

A curated list of projects in awesome lists tagged with logistic-regression-algorithm .

https://github.com/ruban2205/iris_classification

This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

iris-classification iris-dataset k-nearest-neighbor-classifier logistic-regression logistic-regression-algorithm machine-learning navie-bayes-algorithm support-vector-classifier

Last synced: 21 Nov 2024

https://github.com/abhijit2505/data-science

This repository containts the projects that I have done along With my Data Science MOOCs from Coursera.

data-science kaggle-dataset logistic-regression-algorithm practice-codes regression-algorithms

Last synced: 17 Mar 2025

https://github.com/abhijit2505/cat-photo-classification

This repository contains two models having Two - layers ANN and L - layers ANN respectively to classify Cat photo and Non-Cat photo. This ANN works on the mathematical principles of Logistic Regression and Cross Entropy.

artificial-neural-networks classification-algorithm cross-entropy-loss jupyter-notebook logistic-regression-algorithm machine-learning python3

Last synced: 17 Mar 2025

https://github.com/frapac/logisticopttools.jl

A package to fit logistic regression in pure Julia

julia logistic-regression-algorithm optimization

Last synced: 26 Feb 2025

https://github.com/mehmoodulhaq570/machine-learning-models

A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

decision-trees gradient-descent gradient-descent-algorithm knn-algorithm linear-regression linear-regression-models logistic-regression-algorithm machine-learning-algorithms machine-learning-models ml naive-bayes-algorithm one-hot-encoding pca python random-forest-classifier scikit-learn svm-model

Last synced: 08 Apr 2025

https://github.com/easonlai/diabetes_prediction_lr_xgb

This is a sample code repository to leverage classic "Pima Indians Diabetes" from UCI to perform diabetes classification by Logistic Regression & Gradient Boosting algorithms.

classification classification-algorithm classification-model diabetes diabetes-prediction gradient-boosting gradient-boosting-algorithm logistic-regression logistic-regression-algorithm python python3 sklearn xgboost

Last synced: 08 Jan 2025

https://github.com/qtle3/logistic-regression

A Python implementation of Logistic Regression to classify social network ads based on age and estimated salary, featuring data visualization and performance metrics such as confusion matrix and accuracy score.

data-visualization feature-scaling logistic-regression logistic-regression-algorithm model-evaluation

Last synced: 08 Apr 2025

https://github.com/ozlemkorpe/data-mining-with-knime

Basic knime examples for beginners. It includes many different operations like filtering, predicting, string manipulation, math operations etc.

data-mining knime logistic-regression-algorithm partitioning prediction

Last synced: 20 Feb 2025

https://github.com/sultanazhari/prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 20 Mar 2025

https://github.com/gaball1/alzheimer-prediction-ai

Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .

ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier

Last synced: 22 Mar 2025

https://github.com/tolumie/loan-approval-prediction

Loan Approval Prediction using Machine Learning | EDA + Decision Tree, Random Forest & Logistic Regression | Automating loan eligibility for Dream Housing Finance by analyzing customer data and predicting loan approvals.

classification credit-risk-analysis data-analysis decision-tree-classifier finance-analytics loan-approval logistic-regression-algorithm machine-learning predictive-modeling-techniques random-forest

Last synced: 15 Mar 2025

https://github.com/shankytiwari/machine-learning-logistic-regression-in-python

Creating a Model to predict if a user is going to buy the product or not based on a set of data

logistic-regression logistic-regression-algorithm machine-learning machine-learning-algorithms machinelearning

Last synced: 18 Mar 2025

https://github.com/shilpakancharla/hate-speech

As citizens, how can we keep track of hate speech online that's affecting our fellow peers and neighbors? While I believe there are myriad solutions to helping each other out, I wanted to try a solution using machine learning models. Machine learning classifiers, alongside a vast amount of data gathered through API calls, can offer valid solutions to organizations and companies attempting to monitoring content on their platforms. Ultimately, a logistic regression classifier was created that achieved 98% accuracy when classifying tweets as positive (non-offensive) and negative (offensive).

convolutional-neural-networks decision-trees flask jupyter-notebook logistic-regression-algorithm machine-learning-algorithms pipeline python twitter-api

Last synced: 13 Mar 2025