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May 30, 2020 - Jupyter Notebook
tf-idf-vectorizer
Here are 112 public repositories matching this topic...
ML model for spam detection using Naive Bayes & TF-IDF. Achieved 0.98 accuracy. Utilized Scikit-learn, Numpy, nltk. Implements NLP concepts. Explore precise spam classification effortlessly. #MachineLearning #SpamDetection 🚀✉️📱
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Mar 11, 2024 - Python
Grocery Dataset Classification with Deep Learning in Keras and Tensorflow.
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Aug 24, 2019 - Jupyter Notebook
A simple web app that uses a trained sequential neural net to predict the rating of a hotel review.
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Feb 10, 2021 - HTML
The recommender framework goes about as a friend in need and channels the melodies that are reasonable for that client at that point. It likewise expands the client's fulfilment by playing fitting tune at the correct time, and, in the interim, limit the client's work.
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Dec 2, 2021 - Jupyter Notebook
Program to analyze transfer loss across domains using TF-IDF vectors with Chi squared into logistic regression model.
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Dec 30, 2020 - HTML
Text Processing performed on the Apple Macbook for feature extraction
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Sep 5, 2022 - Jupyter Notebook
Built MultinomialNB, Logistic Regression, Random Forests and LSTM with the TF-IDF vectorizer for fake and real news classification. Also performed K-means unsupervised algorithm with PCA and t-SNE.
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Oct 28, 2021 - Jupyter Notebook
Predict whether a DonorsChoose.org project proposal submitted by a teacher will be approved.
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Jun 2, 2021 - Jupyter Notebook
Project showing the sentiment analysis of text data using NLP and Dash.
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Mar 17, 2021 - Python
We watch and read a lot of news daily. These news have a great impact on our lives and on the society as a whole. It can generate positive or negative impact on a person and can even shake the entire system of the country. So our model, thus, uses natural language processing and classifies the news headlines into positive, negative or neutral im…
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Aug 21, 2021 - Jupyter Notebook
The goal of this project is to use Netflix data (7787,12) to classify and group movies and shows into specific clusters. We will utilize techniques such as K-means clustering, Agglomerative clustering and content-based recommendation systems to analyze the data and provide personalized suggestions to consumers based on their preferences.
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Mar 2, 2023 - Jupyter Notebook
Building a basic spam classifier with Tf-IDF Vectorizer and Naïve Bayes model
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Jan 2, 2024 - Jupyter Notebook
Using text analytics to understand cultural patterns in philosophical texts. Exploring gender, author, region, and time-period differences, and extracting key philosophical concepts.
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May 28, 2024 - Jupyter Notebook
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Nov 30, 2018 - Jupyter Notebook
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Jul 14, 2021 - Python
Exploring Natural Language Processing by predicting password strength. Explored the TF-IDF algorithm and implemented it for data preprocessing. Will implement the ML algorithm soon :)
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Apr 10, 2021 - Jupyter Notebook
Performed Sentiment Analysis on the Twitter Us Airline dataset
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Aug 14, 2021 - Jupyter Notebook
To understand the impact on stock price based on the various news headlines.
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Dec 4, 2021 - Jupyter Notebook
Train data collection interface for TTW backend.
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Apr 21, 2023 - Jupyter Notebook
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