Kshitiz Regmi

Kshitiz Regmi

Machine Learning Engineer || INMA Award-Winning Product Developer || Driving User Personalization || Empowering Individuals as AI-Enabled Data Professionals

Posts by Tags

a machine learning model

and deploy

dslim/bert-base-NER

r2_score

train

AI

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

Bert

NER powered Semantic Search Engine

14 minute read

Published:

In this tutorial, we will demonstrate how to utilize Named Entity Recognition (NER) powered semantic search with Pinecone. The following steps will be covered:

Build

CNN

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

Classification

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

Data Science

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

Hyperparameter tuning

XGBoost Hyperparameter tuning: XGBRegressor (XGBoost Regression)

10 minute read

Published:

XGBoost stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems (“Nvidia”).

MAE

XGBoost Hyperparameter tuning: XGBRegressor (XGBoost Regression)

10 minute read

Published:

XGBoost stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems (“Nvidia”).

MSE

XGBoost Hyperparameter tuning: XGBRegressor (XGBoost Regression)

10 minute read

Published:

XGBoost stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems (“Nvidia”).

NER

NER powered Semantic Search Engine

14 minute read

Published:

In this tutorial, we will demonstrate how to utilize Named Entity Recognition (NER) powered semantic search with Pinecone. The following steps will be covered:

NER powered Semantic Search

NER powered Semantic Search Engine

14 minute read

Published:

In this tutorial, we will demonstrate how to utilize Named Entity Recognition (NER) powered semantic search with Pinecone. The following steps will be covered:

Nepali note classification

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

Pinecone

NER powered Semantic Search Engine

14 minute read

Published:

In this tutorial, we will demonstrate how to utilize Named Entity Recognition (NER) powered semantic search with Pinecone. The following steps will be covered:

R2 score

Regression

XGBoost Hyperparameter tuning: XGBRegressor (XGBoost Regression)

10 minute read

Published:

XGBoost stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems (“Nvidia”).

Semantic Search

NER powered Semantic Search Engine

14 minute read

Published:

In this tutorial, we will demonstrate how to utilize Named Entity Recognition (NER) powered semantic search with Pinecone. The following steps will be covered:

Sentance Transformer

NER powered Semantic Search Engine

14 minute read

Published:

In this tutorial, we will demonstrate how to utilize Named Entity Recognition (NER) powered semantic search with Pinecone. The following steps will be covered:

Tensorflow

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

Transformer

NER powered Semantic Search Engine

14 minute read

Published:

In this tutorial, we will demonstrate how to utilize Named Entity Recognition (NER) powered semantic search with Pinecone. The following steps will be covered:

XGBRegressor

XGBoost Hyperparameter tuning: XGBRegressor (XGBoost Regression)

10 minute read

Published:

XGBoost stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems (“Nvidia”).

XGBoost

XGBoost Hyperparameter tuning: XGBRegressor (XGBoost Regression)

10 minute read

Published:

XGBoost stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems (“Nvidia”).

XGBoost Regression

XGBoost Hyperparameter tuning: XGBRegressor (XGBoost Regression)

10 minute read

Published:

XGBoost stands for Extreme Gradient Boosting, is a scalable, distributed gradient-boosted decision tree (GBDT) machine learning library. It provides parallel tree boosting and is the leading machine learning library for regression, classification, and ranking problems (“Nvidia”).

amazon

amazon sagemaker

aws

aws lambda

binary classification

classification

cloud watch

computer vision

digit mnist

empirical rule

imbalanced classification

keras

lambda

machine learning

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

mean

mnist

multi-qa-MiniLM-L6-cos-v1

multiclass classification

normal distribution

number classification

regression

sagemaker notebook instance

sagemaker studio

serverless

standard deviation

tensorflow

tensorflow developer

Nepali Cash Detection and Recognition using Tensorflow and CNN

8 minute read

Published:

This project aims to detect and recognize Nepali cash using transfer learning and the InceptionV3 model. The model achieved 93.03% accuracy on both test and validation data. [Last updated: 2023 with more class and dataset]

xgboost

z-score