Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle
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Updated
Jun 13, 2024
Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle
A DATA-DRIVEN APPROACH TO ENHANCE CITIZEN SERVICES AND QUALITY OF LIFE
Objective: Analyze historical tsunami data to determine if climatic changes caused by global warming have impacted tsunami intensity or validity before and after 1900.
Spring/Summer 2024 Research - Outside parameters and their effects on COVID-19 Death Totals
Practise assignments to learn Econometrics with R.
Mediante un Análisis de Regresión Lineal Multiple se identifican los factores que afectan el nivel de colesterol.
Explore CSST 104 Advanced Machine Learning repo! Python on Google Colab for tasks. Real-life examples show concepts like linear regression, predictive analysis.
In this project I built machine learning models using Multiple Linear Regression, Ridge regression, Lasso regression, Elasticnet regression and then created a pickle file of the regression model which gave best accuracy
EDA process on Real Estate dataset and is a multiple linear regression problem.
Bu analiz, insanların mutluluğu ve ülkeleri arasındaki bağlantıyı değerlendirecektir.
Thermal Expansion Error Prediction | Summer 2023
Multivariate Data Analysis | Spring 2023
Practice Assignments for Data Science Coursework
The goal of the project is to predict Life Expectancy using various factors and to determine the relationship that exists between them.
Toolkit for Data Science & Statistics
Implementing multiple linear regression using sckit-learn
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