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advanced-notepad-desktop-application-using-java

Developed an advanced notepad application which offers colored texts and different fonts which existing notepad doesn't offers.

airline_management_using_sql

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

Data analysis of Titanic Dataset

data-reduction-algorithm-identification-and-elimination-of-erroneous-rows

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).

formation-of-dense-clusters-by-outlier-elimination-and-standard-deviation

This method suggests a technique for removing outliers that takes standard deviation into account.

machine-learning-techniques-for-financial-fraud-predictions

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-survival-prediction-titanic-and-sales-prediction-

ML for Prediction of sales, Classification of Iris flower and survival prediction of Titanic

new-approaches-to-robust-homogeneous-and-clearly-identifiable-cluster-creation

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

parkinsons-upsampling-algorithm

Developed a novel upsampling algorithm which accurately identifies impactful rows from the dataset

prediction_of_diabetes_using_r

Identified the optimal order of preprocessing for Pima Diabetes Dataset, how feature selection and upsampling affects the evaluation metrics

recession-domain-adapted-feature-selection-technique

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

skewness-based-outlier-elimination-technique-for-pima-diabetes-dataset

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.

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tejaswinikatale.github.io

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