textvectorization

There are 0 repository under textvectorization topic.

avinashmyerolkar / Movies_Recommender_Model
The Movie Recommender System is an application that suggests personalized movie recommendations to users based on their preferences and viewing history. It uses a content-based filtering techniques to generate accurate and relevant movie recommendations.
content-based-recommendation natural-language-processing recommender-system nltk textvectorization
Language:Jupyter Notebook 1
gokulnpc / Toxic-Comment-Classifier
This project employs a deep neural network architecture for the classification of toxic comments, utilizing the Kaggle competition dataset from the Jigsaw Toxic Comment Classification Challenge.
bidirectional-lstm deep-learning lstm-neural-networks python textvectorization toxic-comment-classification
Language:Jupyter Notebook 1
ML-ALGORITHM
enockjamin01 / ML-ALGORITHM
This Repository provides the basic code snippets for all the most widely used ML Algorithms like Supervised, Unsupervised, and Recommender system algorithms.
artificial-intelligence datapreprocessing decision-trees isolation-forest kmeans-clustering linear-regression logistic-regression machine-learning machine-learning-algorithms neural-networks python random-forest recommendation-system sklearn supervised-learning surprise-library svd-factorization textvectorization unsupervised-learning
Language:Jupyter Notebook 0
ElectroPulse-Product-Recommendation
HamdanSidz / ElectroPulse-Product-Recommendation
Developed a Python-Django server integrated with a machine learning model to provide optimized product recommendations tailored to user preferences, enhances user experience through intelligent, data-driven suggestions.
cosine-similarity distance-measures django-framework machine-learning numpy-arrays pandas-python textvectorization bootstrap5
Language:Python 0
manash-jyoti / Movie-Recommender-System
Content-based Movie Recommender System
cosine-similarity jupyter-notebook movie-database nltk pandas pickle recommendation-system streamlit-webapp textvectorization themoviedb sklearn-library
Language:Jupyter Notebook 0
Neural-Network-Analysis-for-Predictive-Modeling
siliataider / Neural-Network-Analysis-for-Predictive-Modeling
🧠 The project aims to predict the popularity of a movie based on it's overview text. It involves a thorough analysis of a movie dataset, exploring various aspects of data preprocessing, model building, training, and evaluation.
artificialintelligence classification datapreprocessing datascience datavisualization deeplearning keras machinelearning neuralnetworks python regression tensorflow textvectorization
Language:Jupyter Notebook 0
Ashishm1214 / Movie_Recommender_system
A content based movie recommender system using cosine similarity
cosine-similarity numpy pandas recommender-system textvectorization
Language:Jupyter Notebook
avinashmyerolkar / Natural_Language_Processing
The "Bag of Words" (BoW) is a basic and fundamental technique in Natural Language Processing (NLP) for representing text data as numerical features that can be used in machine learning models.
bag-of-words countvectorizer nlp-machine-learning textrepresentation textvectorization
Language:Jupyter Notebook
EPSOFT / Tex-Classification
Tex Classification
persian classification classification-algorithm farsi matplotlib numpy pandas tensorflow tex-classification textvectorization
Language:Jupyter Notebook

textvectorization

avinashmyerolkar / Movies_Recommender_Model

gokulnpc / Toxic-Comment-Classifier

enockjamin01 / ML-ALGORITHM

HamdanSidz / ElectroPulse-Product-Recommendation

manash-jyoti / Movie-Recommender-System

siliataider / Neural-Network-Analysis-for-Predictive-Modeling

Ashishm1214 / Movie_Recommender_system

avinashmyerolkar / Natural_Language_Processing

EPSOFT / Tex-Classification