study Vector Product - Moozonian Search

GitHub Repo https://github.com/DataQUEEN99/NeuroFlow-AI-Personal-AI-Brain-for-Learning-Productivity

DataQUEEN99/NeuroFlow-AI-Personal-AI-Brain-for-Learning-Productivity

A next-generation full-stack AI Personal Operating System (AI-POS) that acts as your persistent digital brain. NeuroFlow AI remembers your goals, tracks learning, executes tasks autonomously, and continuously optimizes your work, study, and life. Built with Next.js, React, Tailwind CSS, FastAPI, and vector memory for intelligent long-term context.

GitHub Repo https://github.com/somjit101/NLP-CaseStudy-Amazon-Fine-Foods-Review

somjit101/NLP-CaseStudy-Amazon-Fine-Foods-Review

Efficient Sentencing Encoding and Vectorization techniques with customer reviews on a product page of the popular E-Commerce website, Amazon using proven NLP techniques for the purpose of sentiment analysis.

GitHub Repo https://github.com/MeghanHan/PA3-Comparing-Classifiers

MeghanHan/PA3-Comparing-Classifiers

This study compares the performance of the classifiers (k-nearest neighbors, logistic regression, decision trees, and support vector machines). The dataset is related to the marketing of bank products over the telephone.

GitHub Repo https://github.com/segfaultscribe/SIMD-Dot-product-Optimization

segfaultscribe/SIMD-Dot-product-Optimization

Performance case study of dot product optimizations using SIMD (SSE, AVX, AVX2), analyzing speedups from scalar to vectorized implementations with benchmarking and profiling.

GitHub Repo https://github.com/UtkuKacar/Time-Series-Analysis-of-Electricity-Production

UtkuKacar/Time-Series-Analysis-of-Electricity-Production

This project aims to analyze seasonal and trend changes in electricity production in India using time series analysis methods. The study utilizes annual electricity production data from India to create and analyze a Support Vector Regression (SVR) model.

GitHub Repo https://github.com/d-alexis-m-r/Amazon-market-study

d-alexis-m-r/Amazon-market-study

The purpose of this project is to evaluate product reviews on the Amazon platform and understand the reason based on the product description, the reason it was endorsed according to the words contained in your review and your rating level (5 and 4 positive, 3 neutral, 1 and 2 negative). This way, it will be possible to notify the platform why the product has been rated as good or bad, and show which are the keywords with the highest occurrences in your reviews. Assuming that the information found in the text reviews of each product is enough to train a model with high accuracy, the goal is to train a Sentiment Analysis Classifier, which will determine the review's sentiment. To perform the model, we will use Support Vector Machine Classifier, Logistic Regression Classifier, Decision Tree Classifier and Random Forest Classifier. Their accuracy will be compared and the best model will be improved and applied to the data.

GitHub Repo https://github.com/byukan/Marketing-Data-Science

byukan/Marketing-Data-Science

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

GitHub Repo https://github.com/MIJUMBO/Cosine_Similarity_Case_Study

MIJUMBO/Cosine_Similarity_Case_Study

Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them. Similarity measures have a multitude of uses in machine learning projects; they come in handy when matching strings, measuring distance, and extracting features.

GitHub Repo https://github.com/HarikumaranJ/n8n_Workflow_Product

HarikumaranJ/n8n_Workflow_Product

Personal Case Study - n8n Orchestration, Pinecone Vector DB, Context Window, Embedding, Chucking, Chunk Overlap, Rerank, RAG Retrieval, OpenAPI LLM, Cohere Model

GitHub Repo https://github.com/DataQUEEN99/NeuroFlow-AI-_Personal-AI-Brain-for-Learning-Productivity

DataQUEEN99/NeuroFlow-AI-_Personal-AI-Brain-for-Learning-Productivity

A next-generation full-stack AI Personal Operating System (AI-POS) that acts as your persistent digital brain. NeuroFlow AI remembers your goals, tracks learning, executes tasks autonomously, and continuously optimizes your work, study, and life. Built with Next.js, React, Tailwind CSS, FastAPI, and vector memory for intelligent long-term context.