There are 1 repository under logisticregression topic.
一些常用的机器学习算法实现
Karma of Humans is AI
Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.
Natural language processing on tweets
Multi class and Binary Classification through Logistic Regression and SVM
Machine learning model Visualizer in web using streamlit
SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier
In this project I intend to predict customer churn on bank data.
Context: Customer behavior prediction to retain customers
Predicting the churn of telecommunication custumers
Machine Learning Lecture Notes
All of my data analysis and Machine learning Projects.
This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process
Trying to predict which customers are more likely to churn
кластеризация клиентов на основе их покупательской способности
Curso de Aprendizado de Máquina
Legal Taxonomy (https://taxonomy.legal/) Classifier on Reddit /r/legaladvice
This is a ML visualiser application for classification algorithms . Check it out following the link .
This project involves the implementation of efficient and effective Logistic Regression (FROM SCRATCH) classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Machine learning Algorithms but the implementations done by me and no external libraries used
Machine Learning. I am building a prediction model, using Logistic Regression, and evaluating its performance with confusion matrix, GridsearchCV,
The Water Quality Checker uses machine learning to analyze water quality parameters such as pH, solids, and conductivity, to determine if water is safe to drink. By inputting the values into the form, the model can predict if the water is fit for consumption or not.
Default_Prediction_for_Loan_Data
AI 小项目代码、笔记
Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models
Some simple machine learning algorithm
Sentiment analysis of Election USA 2020
I created a Machine Learning model that can be used to predict customer churn in credit card services.
Sentiment Analysis
Retrieving Insights - Hypothesis Tests - Logistic Regression - Churn - Model - Python - DecisionTreeRegression
Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).
This is a supervised machine learning project using telecom customer data to predict customers that would churn based on customer Age Group, Relationship Status, Subscribed Services, Charges, and Financial Responsibilities, etc.
The Titanic dataset is a well-known dataset in the field of data analysis and machine learning. The Titanic dataset is a well-known dataset in the field of data analysis and machine learning.