logi

There are 11 repositories under logi topic.

  • LawsonAbs/MovieRecommend

    结合开源数据集进行电影推荐。推荐算法有:逻辑回归;UserCF ; ItemCF

    Language:Python15128
  • shubham5027/Diabetes-Prediction-webapp-using-Machine-Learning

    A Diabetes Prediction web app using machine learning is an application that utilizes a trained machine learning model to predict whether a person has diabetes based on input features such as glucose levels, blood pressure, BMI, age, etc.

    Language:Jupyter Notebook5101
  • AjayKadoula/Machine-Learning-LAB-mtech-2nd-sem-assignment

    Apriori Algorithm, BackPropagationNeuralNetwork, Genetic Algorithm, K Medoid Algorithm, LogisticRegression, matrix multiplication, MultivariateRegression, PSO Particle Swarm Optimization, Principal Component Analysis, RSA ALGO, SparseMatrixMultiplication, SqrtFunction, Steepest Descent Search, Gradient Descent TSP, abc artificial bee colony algorithm, decision tree classifier, elliptic curve linear regression, logistic regression, rsa algo, support vector machines

    Language:Jupyter Notebook4103
  • Employee-Attrition-Prediction-Model

    sandeepyadav10011995/Employee-Attrition-Prediction-Model

    Bill Gates was once quoted as saying, "You take away our top 20 employees and we [Microsoft] become a mediocre company". This statement by Bill Gates took our attention to one of the major problems of employee attrition at workplaces. Employee attrition (turnover) causes a significant cost to any organization which may later on effect its overall efficiency. As per CompData Surveys, over the past five years, total turnover has increased from 15.1 percent to 18.5 percent. For any organization, finding a well trained and experienced employee is a complex task, but it’s even more complex to replace such employees. This not only increases the significant Human Resource (HR) cost, but also impacts the market value of an organization. Despite these facts and ground reality, there is little attention to the literature, which has been seeded to many misconceptions between HR and Employees. Therefore, the aim of this paper is to provide a framework for predicting the employee churn by analyzing the employee’s precise behaviors and attributes using classification techniques.

    Language:Jupyter Notebook4000
  • skepee-PROTOTYPE/Csv2Json

    Json generation from csv file. It generates also nested objects.

    Language:C#4200
  • NzolaKiampava/MLearning-training_magic_gamma_telescope

    Training Magic-gamma-telescope. Training, Validation, test dataset. KNN. Naive Bayes. Log Regression. Neural Netowrks

    Language:Python1100
  • VivekJGupta/MultipleUserLoginSystem

    Simple PHP Login Web App

    Language:PHP1100
  • Abdullah-Shahen/MRA

    Multi Registry authenticator to perform bulk login to contianer registries

    Language:TypeScript0100
  • BeeC00des/angular-dashboard-auth

    This is landing page, authentication , dashboard flow project with angular 16

    Language:TypeScript0100
  • Chengetanaim/StudentPerformanceClassification

    In this project I was classifying student's final grade using information such as student's study habits, parental involvement and extracurricular activities.

    Language:Jupyter Notebook
  • poojaram/linear-logistic-modelling

    Using linear and logistic modeling to assess the strength of relationship between independent and dependent variables.

    Language:Jupyter Notebook20