Data Science Vibes

This project focuses on predicting customer churn in the telecom industry using machine learning techniques. The model is trained to identify factors that influence customer retention and accurately predict whether a customer is likely to stay or leave.

This dataset could be used for automatically finding and categorizing potholes in city streets so the worst ones can be fixed faster.

Creating an Indian Sign Language detection model using YOLOv5 involves training a model to recognize and locate different signs in images or videos.

Detecting Euro coins using YOLOv5 involves training a model to recognize and locate different types of Euro coins in images.TO Detect the Euro Coin Using Yolov5

PREDCIT THE WEBSITE URL IT IS FAKE OR SAFE.

Ocular Disease Intelligent Recognition (ODIR) is a structured ophthalmic database of 5,000 patients with age, color fundus photographs from left and right eyes and doctors' diagnostic keywords from doctors.

Traffic sign detection involves the use of deep learning yolov5 techniques to identify and locate traffic signs in images or video streams. This is a critical component of many intelligent transportation systems, including autonomous vehicles and traffic management systems.

This dataset contains 120 jpg images of disease infected rice leaves. The images are grouped into 3 classes based on the type of disease. There are 40 images in each class.

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NBA shot selection analysis involves studying the shots taken by basketball players during games to understand and optimize their decision-making in different game situations. Our objective is to build a shot prediction model, whether the player will score or not score.

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AI FITNESS TRAINER

OpenCV: Open Source Computer Vision Library. Powerful tools for image and video processing. Enhance vision

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Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed.

MunchMate Foodbot blends an intuitive website with an intelligent chatbot to redefine food ordering. Powered by advanced NLP techniques, the chatbot engages users in natural conversations, offering personalized recommendations and seamless order placement.

Chess pieces detection involves using computer vision techniques to identify and locate individual chess pieces on a chessboard.Able to identify chess pieces on a board or in a video using yolov5.

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Skin cancer classification involves developing a model to identify and classify skin lesions as either benign or malignant based on images.

OCR in python using Tesseract-OCR and OpenCV

Air Piano is a computer vision based project that allows you to play a virtual piano through hand-gesture.

This project is an approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. The developed model is able to recognize 38 different types of plant diseases out of of 14 different plants.

Power BI, developed by Microsoft, is a powerful business analytics tool that enables users to visualize and analyze data, share insights across an organization, or embed them in an app or website.

Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive data visualizations.

Emotion detection typically categorizes emotions into basic or complex categories such as happiness, sadness, anger, fear, surprise, disgust, and sometimes more nuanced emotions like confusion, excitement, or trust. These categories can vary depending on the specific application and dataset.

Predicting Black Friday sales involves building a model that forecasts the sales volume or revenue on the Black Friday shopping day.

Python Practice

This is IABAC Project. The project's business rationale entails utilizing the dataset's provided features to forecast employee performance ratings.

With the FIFA20 Dataset we need to ClusterClustering in the context of FIFA 20 likely refers to grouping or categorizing players based on certain characteristics or attributes.