Kavinda Bandara's repositories
Restaurant-Sentiment-Analysis-NLP
This repository contains a comprehensive project for analyzing restaurant reviews using Natural Language Processing (NLP) techniques. It includes data preprocessing, feature extraction, and sentiment classification using machine learning models, along with detailed documentation and example easy understanding
Mall-Customers-Analyzing
Analyze mall customer data using clustering algorithms. This repository includes code for data preprocessing, K-means clustering, and visualization to identify customer segments and insights. Ideal for marketing strategies and personalized customer experiences.
Breast-cancer-definition-classification
This repository contains a comprehensive study on breast cancer classification using various machine learning algorithms, including decision trees, kernel SVM, logistic regression, Naive Bayes, random forests, and support vector machines. The project includes data preprocessing, model training, evaluation, and performance comparison.
Customer-Buy-Car-Classification-Models
A logistic regression model to predict SUV selection based on customer age and salary. The dataset includes customer demographics and vehicle choices, enabling accurate predictions and insights into SUV preferences. Ideal for marketing and sales strategies.
Customer-Buy-Car-Logistic-Regression-Model
A logistic regression model to predict SUV selection based on customer age and salary. The dataset includes customer demographics and vehicle choices, enabling accurate predictions and insights into SUV preferences. Ideal for marketing and sales strategies.
Regression-model-selection
Automated machine learning framework for regression and classification. It supports various regression models, including linear regression, decision trees, and more, with automatic tuning and model selection. In here data set is Combined Cycle Power Plant which included 10000- instances.
Support-Vector-Regression-Application-Angular
This Angular app allows users to input a feature value and retrieve predictions from a Flask-based SVR model API. It includes form handling, HTTP client integration for API requests, and displays predictions dynamically in the user interface.
Salary-Predictor-in-Interview--SVR
"Salary-Predictor-in-Interview-SVR" is a GitHub repository featuring a Support Vector Regression (SVR) model to predict salaries based on interview data. It includes data preprocessing, model training, and evaluation scripts for accurate salary prediction.
Salary-Predictor-in-Interview--Random_Forest_Regression
This repository contains a Salary Predictor project using Random Forest Regression. It predicts salaries based on interview data, leveraging machine learning for accurate estimations. Ideal for understanding regression techniques and model evaluation.
Salary-Predictor-in-Interview--Decision-tree
A machine learning project implementing a Decision Tree algorithm to predict salaries based on interview data. Ideal for understanding model training, evaluation, and practical application in predicting salary outcomes.
Salary-Predictor-in-Interview
Polynomial regression model to predict salaries based on interview experiences. This project includes data preprocessing, model training, and evaluation, with visualizations to demonstrate the model's performance. Ideal for data science and machine learning enthusiasts.
Profit-Analysis-Multiple-linear-regression
For a comprehensive profit analysis using multiple linear regression with R&D Spend, Administration Spend, Marketing Spend, and State as predictors, refer to this GitHub repository. The repository contains the complete code and dataset.
Data-Preprocessing
A comprehensive suite of tools and scripts for cleaning, transforming, and normalizing datasets. This repository includes utilities for handling missing values, encoding categorical variables, scaling features, and more, ensuring your data is ready for analysis.
Simple-Linear-Regression-Salary-predictor-with-experience-
A repository for a simple linear regression model to predict salaries based on years of experience. Includes Python code, dataset, and instructions for training and testing the model. Ideal for beginners learning machine learning concepts and implementation.
Task-Creator--Angular
An Angular-based task management application. Features include creating, updating, and removing tasks. Ideal for organizing personal or team projects with a user-friendly interface and efficient functionality. Streamline your workflow with this robust and intuitive tool.
Shopify-Test
comprehensive Shopify e-commerce project. It includes customizable themes, seamless payment integration, and robust inventory management. The codebase is well-documented for easy modifications and extensions, ideal for developers building scalable online stores with Shopify.
Shopify-Project
comprehensive Shopify e-commerce project. It includes customizable themes, seamless payment integration, and robust inventory management. The codebase is well-documented for easy modifications and extensions, ideal for developers building scalable online stores with Shopify.
Face-Mask-Detection-using-Convolutional-Neural-Networks
One example of a GitHub repository for face mask detection using Convolutional Neural Networks is "chandrikadeb7/Face-Mask-Detection." This repository provides a Python implementation using TensorFlow and Keras for detecting face masks in images.
Human-resource-management-HRM--.NET-EF-SQL-and-Angular
Human Resource Management (HRM) system leveraging .NET framework, Entity Framework (EF), SQL for robust database management, and Angular for a dynamic front-end. This project integrates seamlessly with version control using Git and is available on GitHub for collaborative development, ensuring efficient HR processes and user-friendly interfaces.
Machine-Learning-with-ML.NET.-
Explore ML model for sentiment analysis of customer reviews, classifying GitHub issues into tags, and recommending movies via collaborative filtering. Delve into deep learning's diverse applications in sound, images, text, and more for enhanced scenarios.
Flask-Python-Framework-Create-Web-site
Flask is a Python framework for building lightweight and dynamic web applications. It helps speed up tedious behind-the-scenes development work, such as URL mapping, and offers more control than its closest competitor
Python-OOP
In this repository about Object Oriented Programming of Python and it compair with C#. In here we describe How to create class , why use constructure, inheritance and other OOP Concepts.
Building-Chatbots-Using-Google-Dialogflow
This Repo is about an AI-powered tool for creating text-based conversational interfaces for various business applications. Instructor Lee Assam demonstrates its use case, introducing key features and concepts, and demonstrating how to configure and deploy chatbots on a website using Dialogflow's platform-specific integration options.
Web3-Blockchain-and-AI-
AI is revolutionizing Web3 by transforming decentralized finance, autonomous smart contracts, personalized user experiences, and predictive analytics. As the Web3 ecosystem evolves, strategic AI adoption will shape its future. Humans and AI are paving the way for a decentralized revolution.
Feed-Forward-Neural-Network--Iris-Flower-Recognition
A feed-forward neural network trained on iris dataset distinguishes iris flower species based on features like sepal length, width, petal length, and width, providing accurate classification in real-time applications.