Explore something new
Python Basics, Machine Learning and Deep Learning
We implemented two Centralized approaches- NMPC and Velocity Obstacle Algorithm, along with two DeCentralized approaches- Priority Safe Interval Path Planning (SIPP), and Conflict Based Search (CBS) planning.
Welcome to my project. OpenPyVision is a real time videoMixer based on opencv and pyqt6.
This project was done in association with the Solar-Terrestrial Research Department(CSTR) in the New Jersey Institute of Technology (NJIT) and was purposely crafted to find the phenomenon STEVE.
Numpy ( Numerical Python ) Python Package.
13 Data Analysis Examples - MovieLens 25M Dataset
Analyzing the customer dataset and developing a machine learning solution to segment customers into meaningful groups based on their purchasing behavior, demographics, and interaction with past marketing campaigns.
Crafted a Currency Convert, an intuitive currency converter that effortlessly integrates real-time exchange rates, delivering precise and up-to-date calculations and by integrating Python's inbuilt functions and leveraging libraries like NumPy and cutting the code complexity by 50%.
Project on exploring optimization of quality delivery service using Python
Attendance Management System using Face Recognition
This repository contains a collection of numpy tutorials.
A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.
Computer vision program written in Python that uses OpenCV to automatically take pictures of people when they are smiling and have their eyes open. WIP.
MNIST handwritten digit classification
NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.
Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.
Решение инженерных и экономических задач с NumPy
Attendance Management System in Python
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