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.

Demo

Ai Trading Bot for prediction of the EUR/USD pair changes in the FOREX market.

real time face mask detector using OpenCV, Tensorflow & ..

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.

✨ Solution of image processing course labs. They handle many related topics to image processing like smoothing , classification ...etc

Information Used To Predict Salaries Years Experience

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.

It's a Python based Movie Recommendation System, which recommends movies to the users based on the similarity to previously watched movies.

A collection of my assignments from the Introduction to data science course which I completed in Coursera.

Repository represents python usability of measuring and managing risks (practice tasks and real cases)

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.

Worked on recommendation model/models for a Music Platform using collaborative filtering method. Solved Principal Component Analysis (PCA) algorithm.

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.

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.