Showing results for Matplotlib Product Vector Product
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/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/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/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.
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/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/wahidulalamriyad/multitask-classification-on-amazon-reviews
wahidulalamriyad/multitask-classification-on-amazon-reviews
Conducted research and developed a system under Dr Stef Garasto on the comparison of numerous machine learning models to solve a multi-task classification problem using an existing dataset for the Amazon Product Reviews. Executed the project using modules such as NLTK, Tensorflow, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn, and evaluated the classification models to predict the ratings of the Amazon Reviews and Product Categories. Achievement - Implemented supervised machine learning techniques such as Logistic Regression, Support Vector Machine, Naive Bayes and Random Forest to conduct this research and achieved an accuracy of 63% using TFIDF Vectorisation.
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/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/JuanMa342/PRODUCTO-ESCALAR-Y-VECTORIAL