Cross-validation method for overfitting research data using r programming Y Rimal CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES 1 (1), 27-34, 2020 | 1 | 2020 |

DOES THE DATABASE FUNCTIONAL DEPENDENCY AND ITS NORMALIZATION MAKE UNIFORM DATABASEMANAGEMENT IN FUTURE? Y Rimal International Research Journal of Mathematics, Engineering and IT, 2018 | 1 | 2018 |

Role of physical instructional materials in early childhood learning centres S Pageni, Y Rimal PRAGYAMANCH 15, 235-247, 2017 | 1 | 2017 |

Hyperparameter Determines the Best Learning Curve on Single, Multi-Layer and Deep Neural Network of Student Grade Prediction of Pokhara University Nepal Y Rimal, P Pandit, S Gocchait, SA Butt, AJ Obaid Journal of Physics: Conference Series 1804 (1), 012054, 2021 | | 2021 |

Reproducible Academic Writing and Interactive Data Visualization Using R Markdown (R Programming Flex-Dashboard: Flex_Dashboard Packages) Y Rimal Rising Threats in Expert Applications and Solutions, 603-615, 2021 | | 2021 |

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, 2020 | | 2020 |

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 |

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 |

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 |

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 |

Correlation Coefficient Analysis of Data using R Programming: Does It Effectives? Y Rimal | | 2019 |

Neural Network Machine Learning Techniques for Large Noisy Data Prediction using R Programming Y Rimal | | 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 |