Classical Data set EDA with Forward Feature selection, Local Outlied Factor and Spearman's rank correlation coefficient

Projeto que engloba vários dados sobre as Olimpíadas e suas conexões com dados gerais.

Predictive Analysis on the class of an unknown customer of telecom provider based on the service usage using k-NearestNeighbors.

This repository contain all the file related to Feature Scaling,Label Encoding and corelation,Outliers Removal etc.in short it contain all files related to data preprocessing.

Predicting toxicity of molecules. Project on course "Data Mining 2"

This repository contains R projects focused on statistical analysis, using techniques like EDA, Hypothesis Testing, ANOVA, Normalization, and Linear Regression. Each project includes datasets, R scripts, results (plots, tables), and a detailed README for insights and methodology.

This python project will recommend the movies which is quite similar to a top rated movie based on co-relation function.

R Projects relevant to two part Data Analysis Course. Link to Part 1 and 2 : https://courses.edx.org/courses/course-v1:UTAustinX+UT.7.20x+1T2016/e40867c6134a4731a492e1ab9c5027b3/

@RohithRao0507 protein analyzing interatomic protein distances. Identifying potential binding sites and investigating structural changes within the protein. Modeling virus protein sequence for infection resistaion classification.

Team student project for Pattern recognition course.

Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?