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.

Numpy ( Numerical Python ) Python Package.

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.

13 Data Analysis Examples - MovieLens 25M Dataset

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

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.

Explore AI algorithms (A*, K-means, Regression, KNN) in Python assigned by University-United International. Master diverse techniques in this educational code collection. 🤖🔍📊

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.

Решение инженерных и экономических задач с NumPy

Pokemon Exploratory Data Analysis

Data analysis and data visualization applications with python

Conducted an extensive geospatial analysis on Zomato's customer data, utilizing GIS tools like Folium and Plotly to map customer density, restaurant locations. Conducted cluster analysis providing actionable insights for optimizing restaurant marketing

Conducted in-depth time series analysis on stock market data for major tech companies like Amazon, Google, Apple, and Microsoft. Utilized multivariable analysis to explore the inter-relationship between stock closing prices and daily % return, visualized findings using Seaborn library, and performed value at risk calculations for each company.