an R project of manipulating and fittingdata into regression with 95.5% R-Square, involving Automated Selection, detecting outliers, influential observations and multicollinearity
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Updated
Oct 12, 2018
an R project of manipulating and fittingdata into regression with 95.5% R-Square, involving Automated Selection, detecting outliers, influential observations and multicollinearity
The repository contains implementations of different univariate outlier detection algorithms
Detecting anomaly transactions in credit card using classification and Outlier Detection.
An outlier-detection algorithm which assigns a high and low value to the points, the higher or lower each value is means that it's the most potential outlier.
This repository contains an implementation for Flight delay forecasting using different machine learning models such as linear regression, polynomial regression, and regularizing based on lasso regression. It is also the solution for Assignment1 in Machine Learning course for ROCV master's program at Innopolis University.
Building a model that predicts cancer death rates in the US and to predict the risk that a person from a particular county might be suffering from cancer
My undergrad research programming sandbox + Capstone project
This project is based a classification algorithm i.e. KNN which is run on a mobile dataset consisting of 2000 rows and 15 columns. It is a multi-class problem where mobiles phones are classified in accordance with their price range.
Kats Forecasting in RedisGears functions
Outlier detection in performance measurements
This project is aimed at demonstrating various methods of data clearing using the example of apartments in the city of Moscow
Демонстрация применения методов очистки данных
NumPy Practice Repository Dive into the world of numerical computing with our collection of NumPy exercises. Perfect for beginners and seasoned programmers alike, this repository offers a range of challenges to sharpen your array manipulation and data analysis skills.
This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.
Perform regression analysis to predict credit limits using machine learning methods, employing techniques such as feature encoding, scaling, selection, and multicollinearity handling to preprocess data.
This repo contains a regression analysis of crime rates in the Boston area.
R codes for basic algorithms in Marketing models and multi variate statistics
This repository you are browsing contains intermediate level piece of codes which are useful for cleaning, exploratory analysis, handling of missing data points, outlier detection and different visualization techniques using graphics, ggplot2, tidycharts, ggExtra packages. Also in particular part of the script you can get basic information about…
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