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Name: Sai Likhith Panuganti
Type: User
Company: GITAM
Bio: Student at Gandhi Institute of Technology & Management (GITAM) University, Visakhapatnam
Location: Visakhapatnam
Name: Sai Likhith Panuganti
Type: User
Company: GITAM
Bio: Student at Gandhi Institute of Technology & Management (GITAM) University, Visakhapatnam
Location: Visakhapatnam
Applying Decision Tree Classifier model on open-source Diabetes Dataset
Applying K Means Clustering Model Machine Learning model on open-source Amazon.com Clustering Dataset
Applying K Nearest Neighbors Machine Learning model on open-source Breast Cancer Detection Classification Master Dataset
Applying Linear Regreesion for Salary Dataset
Mobile Price Range Prediction: Use sales data to build a classification model for mobile phone price ranges. Features include battery power, camera, memory, and connectivity. Split data, apply logistic regression, KNN, SVM (linear and rbf), and evaluate using confusion matrices. Select the most accurate model.
Using Principal Component Analysis Dimensionality Reduction Technique in Machine Learning
Comprehensive Guide on Python by Sai Likhith
Applying Random Forest Classifier Machine Learning model on open-source Breast Cancer Detection Classification Master Dataset
This aims to perform sentiment analysis on COVID-19 tweets using various classification models. We preprocess the data, convert words to vectors, and train models such as Naïve Bayes, SVM, and KNN. Finally, we compare their performance to determine the most accurate model for predicting sentiment in COVID-19 tweets.
SpamGuard is an efficient email classification system powered by Naive Bayes algorithm. It quickly analyzes the content of an email, evaluating its likelihood of being spam. With a simple input of the email body, SpamGuard accurately determines whether the email is spam or not, providing users with a reliable and effective tool for spam detection.
A Python ML project that converts spoken language into text using speech recognition, and transforms text into spoken words using speech synthesis. Harness the power of machine learning to effortlessly transcribe and vocalize audio inputs. Enhance accessibility and communication in a streamlined, efficient manner.
Applying SVM ML model on open-source Diabetes Dataset
Performing Time Series Modelling on open-source Amazon.com Clustering Dataset
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.