Explore something new
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Updated
Aug 31, 2023 - Python
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.
Numpy ( Numerical Python ) Python Package.
13 Data Analysis Examples - MovieLens 25M Dataset
Решение инженерных и экономических задач с NumPy
The Data Analysis Tool is a Python program that provides basic data analysis features for a given dataset.
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
Pokemon Exploratory Data Analysis
A supervised Learning model that finds out donors who earn more than $50K annually
This repository contains a case study for Google's Data Analytics Professional Certificate, focusing on Cyclistic, a fictional bike sharing company in Chicago. The case study aims to drive growth by converting casual riders into members through a marketing strategy.
Python Project which was aimed at data wrangling, analyzing and creating visualizations using python in Jupyter notbook .
Data analysis of Instacart's grocery basket and customer profiling with evaluation of their shopping habits. (Career Foundry - Data Analytics project)
Generating Abstract images using Neural Networks [ open source ]
Deep Learning - Built an face emotion recognition model that detects the sentiment of the online classroom using live video from the webcam and real-time aggregated feedback to the instructors about the class using CNN model.
The notebooks are a part of exercises completed by me under the learn module "Time Series" by Kaggle. It showcases use of libraries such as Pandas, NumPy, Scikit-Learn and Matplotlib. Technique performed are Time series analysis handling Trend, Seasonality and Cycles.
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