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