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Showing results for Matplotlib Product Vector
GitHub Repo https://github.com/owenmchen/vectorcalc

owenmchen/vectorcalc

This project is a simple vector calculator utilizing the Numpy and Matplotlib libraries to preform cross section and dot products based on user input. The program can store an infinite number of vectors and can be called by what you named them.
GitHub Repo https://github.com/jatin-satuse-datascience/Computational-Linear-Algebra-Vector-Operations

jatin-satuse-datascience/Computational-Linear-Algebra-Vector-Operations

Computational vector analysis project using Python and Jupyter Notebook. Implements vector addition, scalar multiplication, dot and cross products with NumPy for efficient computation and Matplotlib for visualization. Built to strengthen linear algebra foundations which is so vital in the world of AI.
GitHub Repo https://github.com/vinicius-mourao/vector-calculator

vinicius-mourao/vector-calculator

Python tool that performs 2D vector calculations including vector formation, norm, dot product, cross product and Matplotlib visualization, implemented manually and with NumPy.
GitHub Repo https://github.com/JuanMa342/PRODUCTO-ESCALAR-Y-VECTORIAL

JuanMa342/PRODUCTO-ESCALAR-Y-VECTORIAL

Hice mediante el uso de bibliotecas cómo MATPLOTLIB, NUMPY y MPL_TOOLKITS, gráficos en 3d y calculamos y graficamos productos vectoriales y productos escalares entre vectores con 3 dimensiones o vectores en el espacio.
GitHub Repo https://github.com/vishaltembhre/GenAI-RAG-implementation

vishaltembhre/GenAI-RAG-implementation

Developed an Azure OpenAI-based RAG email marketing platform with a Streamlit frontend and FIASS vector database for similarity search. The platform processes multiple input formats, including CSV, PDF, text, and PPT, and incorporates product descriptions and sales data to generate creative content and matplotlib graphs based on the input data.
GitHub Repo https://github.com/nivetha-sridhar/Twitter-Sentiment-Analysis

nivetha-sridhar/Twitter-Sentiment-Analysis

This is a Machine Learning Project using NLP. After text-preprocessing, all the texts are then vectorized using tfidf-vectorizer. Twitter Sentiment analysis can be used to understand various customer opinions about a particular brand or product.
GitHub Repo https://github.com/abdoashraf952/Sentiment-Analysis-on-Product-Reviews

abdoashraf952/Sentiment-Analysis-on-Product-Reviews

Sentiment Analysis on IMDb Movie Reviews A Python project for sentiment analysis on 50K IMDb reviews using Logistic Regression and Naive Bayes. Features text preprocessing, TF-IDF vectorization, model evaluation, and visualizations (word clouds, confusion matrices). Built with Pandas, NLTK, Scikit-learn, and Matplotlib.
GitHub Repo https://github.com/Muk1k4ga-K/Vector-Operations-Explorer

Muk1k4ga-K/Vector-Operations-Explorer

🧮 Explore vector operations interactively with Python, covering dot products, cross products, and visualizations for enhanced understanding.
GitHub Repo https://github.com/Elamathi27/Flipkart-Sentimental-Review-Analysis

Elamathi27/Flipkart-Sentimental-Review-Analysis

Sentiment analysis on Flipkart reviews using Python, NLP, and machine learning. Includes EDA, data cleaning, TF-IDF vectorization, Naive Bayes classification, and visual insights. Helps improve product strategies and customer satisfaction.🛠 Technologies Python, Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, TextBlob, NLTK, WordCloud
GitHub Repo https://github.com/RahulNeuroByte/E-CommerceChatbot

RahulNeuroByte/E-CommerceChatbot

This project is an Ecommerce Chatbot developed to enhance customer interaction and assist with product recommendations, order queries, and FAQs. The chatbot is built using Python and Flask, integrated with LangChain for natural language processing (NLP), and Astra DB as a vector store for storing and retrieving product-related data.