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Created almost 5 years ago
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himalayan-sanjeev

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Extracting News Text and required tags from locally stored/offline html files to prepare the News Dataset for the purpose of Nepali News Classifier Project

Nepali_Text_Summarization_Extractive

Extractive Text Summarizer, based on tf-idf text representation (an example)

Jupyter Notebook

Nepali_Word2Vec_Model_Making

Making Nepali Word2Vec Model, using Gensim library with Nepali Bible Corpus.

Jupyter Notebook

Nepali-n-grams-model-using-nltk-Simple-Example

An n-gram model is a type of probabilistic language model for predicting the next item in such a sequence. In n gram language modelling, words are modeled such that each n-gram is composed of n words

Jupyter Notebook

MLP-for-MNIST-Handwritten-Digit-Recognition

Jupyter Notebook

Django-Blog-App

Recalling Django...

Python

First_Deep_Learning_Model_in_Python_using_Keras

First Deep Learning Neural Network Model in Python using Keras

Jupyter Notebook

Python-Dictionary-Basics

Jupyter Notebook

OOP_in_Python_Basics

OOP in Python (Basics)

Jupyter Notebook

Basic-Plots-for-Data-Visualization

Basic Plots for Data Visualization

Jupyter Notebook

Breast-Cancer-Detection-a-case-study-on-UCI-Breast-Cancer-Diagnostic-Dataset

Jupyter Notebook

Face-Detection-on-Videos-using-OpenCV-DNN

Face Detection on Videos using OpenCV DNN

Python

Simple-Analog-Clock-with-Basics-of-js-css

Simple Analog Clock with Basics of js, css

CSS

Nepali-News-Classifier

Nepali News Classifier is an application that can classify the unlabelled or unclassified news/text document into predefined target categories.

Geospatial-Data-Visualization-using-Folium

Geospatial Data Visualization using Folium

Jupyter Notebook

himalayan-sanjeev/News_Extraction_from_HTMLs_and_Dataset_Making

himalayan-sanjeev

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