A content-based recommender system that recommends movies similar to the movie plot and description
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Updated
Mar 14, 2024 - Jupyter Notebook
A content-based recommender system that recommends movies similar to the movie plot and description
Python-based web application, Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized recommendations excercises
Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
This project is a Python-based data science end-to-end chatbot designed to autonomously handle conversations without the need for human intervention. Leveraging advanced natural language processing (NLP) techniques and machine learning algorithms, the chatbot is capable of understanding user queries, providing relevant responses.
SMS Spam Classifier is a machine learning project that classifies SMS messages as either spam or not spam (ham).
Movie Recommendation System based on machine learning concepts
Intents-Based Chatbot with Streamlit
Restrictions on sharing as advised by DataCamp
Compute the TF-IDF matrix from a collection of documents to measure the importance of words for text analysis and information retrieval tasks.
This webapp helps to find the inaccurate information around the world through news
Detect FAKE news using sklearn
BERT model based sentiment analysis of tweets
Machine learning model to predict emotions throught text
feature extraction, Vectorization, similarity scores, finding closest match to user input, find index, enumerate similarity, give recommendations.
Fake News Prediction System using logistic regression, stopwords, nltk
A Lite Implementation of sklearn TfidfVectorizer
Fake News Detection Using Python
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