Cross-validation method for overfitting research data using r programming Y Rimal ICC, 2018 | 1 | 2018 |

Machine Learning Techniques Best for Large Data Prediction: A Case Study of Breast Cancer Categorical Data: k‐Nearest Neighbors Y Rimal Ontology‐Based Information Retrieval for Healthcare Systems, 245-256, 2020 | | 2020 |

Use of ICT in Higher Education, University Teacher Prospective an Analysis of Categorical Data S Pageni, Y Rimal International Journal on Integrated Education 3 (5), 23-29, 2020 | | 2020 |

Multivariate imputation for missing data handling a case study on small and large data sets Y Rimal International Journal of Human Computing Studies 2 (1), 5-11, 2020 | | 2020 |

Neural Network Machine Learning Analysis for Noisy Data: R Programming Y Rimal Recent Trends in Programming languages 6 (3), 1-10, 2019 | | 2019 |

Naïve Bayes Machine Learning Classification with R Programming: A case study of binary data sets Y Rimal International Journal on Orange Technologies 1 (2), 27-34, 2019 | | 2019 |

Cartographic Map Abstraction Using R Programming (Literacy Rate, HDI and Poverty Data Interpolation of Nepal) Y Rimal, S Pageni International Journal on Orange Technologies 1 (2), 19-26, 2019 | | 2019 |

Keras: The Best Machine Learning Process for Image Recognition and Classification Y Rimal International Conference on Innovation in Modern Science and Technology …, 2019 | | 2019 |

Regression Analysis of Large Research Data: Dimensional Reduction Techniques Y Rimal International Conference on Innovation in Modern Science and Technology, 296-306, 2019 | | 2019 |

Machine Learning Prediction of Time Series Data (Decomposition and Forecasting Methods Using R) Y Rimal International Conference on Innovation in Modern Science and Technology …, 2019 | | 2019 |

Regression Analysis of Research Data using R Programming Y Rimal Recent Trends in Programming languages 6 (2), 42-50, 2019 | | 2019 |

Machine Learning Cluster Analysis for Large Categorical Data Using R Programming Y Rimal Recent Trends in Programming languages 6 (2), 23-34, 2019 | | 2019 |

Fundamental types of regression analysis on various research data using R Programming Y Rimal CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES 1 (1), 1-7, 2019 | | 2019 |

Multi-layer neural network perception for large data prediction using R Programming Y Rimal CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES 1 (01), 2019 | | 2019 |

A BEST WAY OF MULTI-LEVEL IMBALANCE RESEARCH DATA HANDLING USING R PROGRAMMING Y Rimal 2019 JETIR 6 (5), 94, 2019 | | 2019 |

Deterministic Machine Learning Cluster Analysis of Research Data: using R Programming Y Rimal International Journal of Machine Learning and Networked Collaborative …, 2019 | | 2019 |

Machine Learning Prediction of Wikipedia Time Series Data using: R Programming Y Rimal International Journal of Machine Learning and Networked Collaborative …, 2019 | | 2019 |

DOES THE DATABASE FUNCTIONAL DEPENDENCY AND ITS NORMALIZATION MAKE UNIFORM DATABASEMANAGEMENT IN FUTURE? Y Rimal International Research Journal of Mathematics, Engineering and IT, 2018 | | 2018 |

Machine Learning Random Forest Cluster Analysis for Large Overfitting Data: using R Programming Y Rimal 2017 4th International Conference on “Computing for Sustainable Global …, 2018 | | 2018 |

Role of Physical Instructional Materials in Early Childhood Learning Centers SY Rimal PRAGYAMANCH Year: 30 15, 2017 | | 2017 |