dayana123456789
🚀 A highly motivated and medium writer in the field of data science who likes to torcher data (◕‿◕) .
Kochi,Kerala
Pinned Repositories
Clothing-Detection-Using-YOLOv8
CNN-with-Regularisation-techniques
This project explores Convolutional Neural Networks (CNNs) with a focus on regularization techniques.
Customer-Churn-Prediction-Using-Survival-Analysis
This project focuses on analyzing customer churn using survival analysis techniques. Customer churn is a critical concern for businesses, and understanding when and why customers leave a service is essential for retention and growth.
Customer-Segmentation-Using-Spark
The primary aim of this project is to apply advanced data analytics using PySpark techniques to gain a deeper understanding of mall customers and their shopping behaviors.
dayanavincent
Extraction-of-Frames-from-Video
This project focuses on video frame extraction and transformation using OpenCV, a powerful library for computer vision and image processing. The goal is to take a video and perform various frame-based operations, including fast motion, slow motion, grayscale conversion, and reverse video playback.
Homomorphic-Filtering
image-caption-generation
PCB-Components-Detection-using-Mask-RCNN
Creating a PCB (Printed Circuit Board) components detection project using Mask R-CNN (Region-based Convolutional Neural Network) is a fascinating computer vision task. Below, I'll provide you with an outline of the project details, including its objectives, components, and steps to execute it successfully
static
dayana123456789's Repositories
dayana123456789/PCB-Components-Detection-using-Mask-RCNN
Creating a PCB (Printed Circuit Board) components detection project using Mask R-CNN (Region-based Convolutional Neural Network) is a fascinating computer vision task. Below, I'll provide you with an outline of the project details, including its objectives, components, and steps to execute it successfully
dayana123456789/dayanavincent
dayana123456789/Clothing-Detection-Using-YOLOv8
dayana123456789/CNN-with-Regularisation-techniques
This project explores Convolutional Neural Networks (CNNs) with a focus on regularization techniques.
dayana123456789/Customer-Churn-Prediction-Using-Survival-Analysis
This project focuses on analyzing customer churn using survival analysis techniques. Customer churn is a critical concern for businesses, and understanding when and why customers leave a service is essential for retention and growth.
dayana123456789/Customer-Segmentation-Using-Spark
The primary aim of this project is to apply advanced data analytics using PySpark techniques to gain a deeper understanding of mall customers and their shopping behaviors.
dayana123456789/Extraction-of-Frames-from-Video
This project focuses on video frame extraction and transformation using OpenCV, a powerful library for computer vision and image processing. The goal is to take a video and perform various frame-based operations, including fast motion, slow motion, grayscale conversion, and reverse video playback.
dayana123456789/Homomorphic-Filtering
dayana123456789/image-caption-generation
dayana123456789/Learning-Activation-Function
dayana123456789/static
dayana123456789/Learning-Activation-Functions
dayana123456789/mmocr
dayana123456789/Multiple-Linear-Regression
Car Price prediction using MLR
dayana123456789/Polars_stroke_prediction
In this endeavor, I've delved into the fascinating world of stroke prediction, leveraging the power of Polars DataFrames. By steering away from conventional Pandas usage, I've explored a more efficient approach to data handling and analysis.
dayana123456789/static_images
dayana123456789/Swiggy-Data-Analysis-Using-Spark