Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)
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Updated
May 19, 2024 - Jupyter Notebook
Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)
Datasets for Machine Learning
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
Image processing.
PHP framework statistics scanner and json data archive with matplotlib charts
Implementation of VRPPDTW using Cplex in Python
Standalone tool for optimization and automation of the CAM process on 3-axis CNC routers
Basics of Data Sciences From 0 to Hero
Panel: The powerful data exploration & web app framework for Python
Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.
Materials packed with datasets and notebooks to be worked out during live lessons.
"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."
Explore the captivating world of retail data analysis! In this series, we dive into Supermarket Sales Analysis using Python to uncover fascinating insights and trends hidden within the data.
In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
A fully automated script to download and update NSE EOD Historical stock, index and delivery data with added features
Processes a pdf file holding storage utilization data to automatically create graph visualizations revealing the true demographics hidden in large data.
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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