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Docker environment that spins up MongoDB replica set, Spark, and Jupyter Lab. Example code uses PySpark and the MongoDB Spark Connector.
Algorithms for similar image search/reverse image search
Building an AWS Solution Architect Agent with Generative AI
🌊 Robust workflows for gathering data about your local ocean.
Ai Trading Bot for prediction of the EUR/USD pair changes in the FOREX market.
Explore ML mini-projects with Jupyter notebooks. Discover predictive analysis for commercial sales, leveraging regression models such as linear regression, decision trees, random forests, lasso, ridge, and extra-trees regressor.
real time face mask detector using OpenCV, Tensorflow & ..
✨ Solution of image processing course labs. They handle many related topics to image processing like smoothing , classification ...etc
It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies.
In this repository, immerse yourself in a rich collection of diverse analytical projects that span a spectrum of data-driven investigations. From exploratory data analysis to predictive modeling, each project within offers unique insights and methodologies.
Explore predictive modeling with this repository, featuring regression-based models applied to a comprehensive dataset on flight delays and cancellations. Gain insights into factors influencing air travel disruptions and leverage regression techniques to enhance predictions.
AI-FitnessTrainer using YOLOv8-pose
Information Used To Predict Salaries Years Experience
"Text Summarization Using NLP" is a Python repo employing spaCy for concise text summaries. Explore extractive techniques, follow a simple setup, and dive into effective NLP-based summarization.
📚 A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in python stored in a structured manner.😊🏆
Machine learning models that predict human activity upon receiving sensors readings
Repository for google skillboost generative Ai course lab classes assignments
Estudo desenvolvido no ambiente google colaboratory focando em bibliotecas de analise financeira.
This application simulates and visualizes the SIR model for infectious disease spread.
This is a beginner-level Data Science project carried out in the MCA I Semester, as a Data Visualization Project on topic Pollution Analysis in Indian States and Global Cities.
This project employs YOLOv2/YOLOv3, TensorFlow and DarkFlow for crowd people counting from images, videos, or live streams, with applications in disaster recovery planning and crowd management, providing real-time count estimates.
Python code is shared that simulates random events in two scenarios: Technology E-commerce and Megastore in their mobile app. This is done to generate large-scale data that can be processed using Data Engineering tools.
ITVEDANT PROJECT OF PYTHON MODULE
In this project "USA_Housing" data set is used for implementing Linear Regression .Its a Random AI generated data set for Practice only. EDA, Linear Regression Model ,Train Test Split ,Training ,Evaluation ,Prediction.
Repository represents python usability of measuring and managing risks (practice tasks and real cases)
Worked on recommendation model/models for a Music Platform using collaborative filtering method. Solved Principal Component Analysis (PCA) algorithm.
Prediction of CPT of coal sample using Random Forest regressor
A collection of my assignments from the Introduction to data science course which I completed in Coursera.
Credit card fraud detection: This ML project covers all aspects of credit card fraud detection
Deep Learning (семестр 1, осень 2022): продвинутый поток
End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).
"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."
Welcome to the Image Generation Tool, leveraging the power of diffusion models to create high-quality, realistic images. Diffusion models have emerged as a groundbreaking approach in the field of generative models, often surpassing the performance of traditional Generative Adversarial Networks (GANs).