tejaswinikatale Goto Github PK
Name: Tejaswini Katale
Type: User
Bio: Computer Engineering Student from VIT Pune. Fond of Research, Data Science, Machine Learning and Business Analytics
Name: Tejaswini Katale
Type: User
Bio: Computer Engineering Student from VIT Pune. Fond of Research, Data Science, Machine Learning and Business Analytics
Developed an advanced notepad application which offers colored texts and different fonts which existing notepad doesn't offers.
The Airline Management System project using SQL is designed to streamline and manage various aspects of airline operations, such as flight scheduling, ticket reservations, passenger information, and crew assignments.
Data analysis of Titanic Dataset
The proposed algorithm calculates the Initial Recall value of the Dataset. It eliminates least correlated features using the Correlation Matrix. Using Gaussian Curve, for all the columns it identifies and eliminates rows having values which lie beyond (µ ± 3σ).
This method suggests a technique for removing outliers that takes standard deviation into account.
My findings demonstrate that machine learning algorithms may effectively identify fraudulent transactions with a high degree of precision, giving financial institutions a useful tool to fight fraud.
ML for Prediction of sales, Classification of Iris flower and survival prediction of Titanic
A new clustering technique is proposed that incorporates outliers during clustering. The proposed approach involves using a variable, (λ > 0), to define the cluster radius. Weighted an
Developed a novel upsampling algorithm which accurately identifies impactful rows from the dataset
Identified the optimal order of preprocessing for Pima Diabetes Dataset, how feature selection and upsampling affects the evaluation metrics
A Novel Methodology of Domain Wise feature selection approach which is capable of identifying the interrelationships by focusing on Domain-Wise feature selection. It ensures that correlated and similar features are considered together by grouping them in similar domains based on correlation values
The proposed algorithm is successful in elimination of 108 rows from Pima Diabetes Dataset by skewness range of Normal distribution curve. To check the efficacy of the algorithm, it is compared with four techniques- Local Outlier Factor, Mahalanobis Distance, Multivariate Normal Distribution (N Dimensional) and DBSCAN.
A beautiful, simple, clean, and responsive Jekyll theme for academics
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.