Praveen Liyanage's repositories
FitZone-Fitness-Application
This is an application developed as a social media platform based suitable for add fitness routines
20-Deep-learning-Use-cases
Here you can find twenty google colab files written for Deep Learning use cases
Custom-Segmentation-using-K-Means-Clustering
K-Means clustering implementation for custom segmentation tasks, allowing users to group data points based on similarity for personalized analysis and insights.
Heart-Failure-Prediction-PyTorch-and-ANN
This is a Python project utilizing PyTorch and artificial neural networks for heart failure prediction, analyzing datasets and predicting likelihood based on input features.
Kidney-Disease-Prediction
This is a machine learning project that predicts kidney disease based on clinical and laboratory features, enabling users to build and deploy predictive models.
Research-Articles-Sentiment-Analysis
This repository provides code and resources for sentiment analysis in research articles, categorized data, and evaluation metrics, useful for scholars and developers in natural language processing and text mining.
Spam-Text-Classification
This repository contains a Jupyter Notebook implemented in Google Colab for classifying spam text messages. The notebook includes data preprocessing, feature extraction using techniques like TF-IDF, and building machine learning models to accurately identify spam messages.
Iris-Flower-Dataset-classification-using-Logistic-Regression
This repository contains a Google Colab notebook that demonstrates the classification of the Iris Flower dataset using Logistic Regression. The notebook includes data exploration, preprocessing, model training, evaluation, and visualization of results.
COVID-19-Unemployment-Analysis
This repository contains a comprehensive analysis of unemployment trends during the COVID-19 pandemic. The analysis is conducted using Python in a Google Colab notebook (.ipynb file). Key features include data cleaning, visualization, and statistical analysis to understand the impact of COVID-19 on unemployment rates.
Object_Detection_YOLO
This project utilizes YOLO (You Only Look Once), a real-time object detection system. YOLO efficiently predicts bounding boxes and class probabilities for each grid cell, renowned for its speed and accuracy.
Python-Co-Pilot
Python Co-Pilot enhances Python developers' coding experience by utilizing LLama's advanced language understanding and Mistral's intelligent code generation, enabling more efficient and high-quality code writing.
NexTrade-E-Commerce-Platform-Laravel
This is an on going development E-commerce project designed for seamless buying and selling experiences. This application places a strong emphasis on user interaction and features a comprehensive Admin Panel for efficient management.
Loan-Defaulter-Prediction
This project aims to provide optimal solutions to a bank by cautioning against the risks associated with loan approvals for businesses. It involves exploratory data analysis, data cleaning, feature engineering, and the application of classification models to predict loan defaulters. The project achieves a 92% accuracy rate in predictions.
Image-Style-Transfer-VGG19
This project features Image Style Transfer using the VGG19 neural network. Style transfer merges the artistic style of one image with the content of another. Leveraging the powerful VGG19 convolutional neural network, it excels in image-related tasks.
ejtos-react_budget_app
react_budget_app
Named-Entity-Recognition-NER
This project work as a NLP tool for precise identification and classification of named entities in text. Features state-of-the-art algorithms, customizable for various domains and entity types. Ensures fast and scalable processing of large text corpora.
Neural-Machine-Translation-NMT
Implements a sequence-to-sequence model with Long Short-Term Memory (LSTM) networks for accurate language translation. Utilizes deep learning techniques to seamlessly translate text from one language to another.
Amazon-Stock-Forecasting-Pytorch-LSTM
Amazon stock prices using a Long Short-Term Memory (LSTM) neural network implemented with PyTorch. This project leverages deep learning techniques for accurate time series forecasting.
Image-Caption-Generator-CNN
This project Implements a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to generate descriptive captions for input images.
Face-Recognition-OpenCV
Explore the Face Recognition with OpenCV project, a showcase of computer vision prowess. Witness real-time face recognition using OpenCV, blending Haarcascades for precise detection with a simple and extensible recognition algorithm.