A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

Machine learning: Practical applications

Machine Learning Notebooks for various Algorithms with data file

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

This repository contains several machine learning projects done in Jupyter Notebooks

Machine learning algorithms

Basic Machine Learning using Sklearn: 📈📉 Multivariate Linear Regression

A hub that contains notebooks that implement Regression models, illustrates LR via Gradient Descent, compares K-means vs Spectral vs Hierarchical, compares PCA vs t-SNE

Predict housing prices to help a startup complete a beta version of its product using Multivariate Linear Regression

Repository contains all assignment solutions and dataset that I used in completing this course

Influence Measures and Diagnostic Plots for Multivariate Linear Models

A simple implementation of multivariate linear regression using gradient descent, built with NumPy and Matplotlib.

Using 21 categorical and numeric features in a multivariate linear regression to find that 79% of a home price can be positively affected by a combination of certain features like location, square feet, condition and age of the home.

Using Zillow database and google API, plots nearby places of user input center location. Utilizing data obtained, finds relationship between real estate values and local amenities with multi-variable linear regression.

This code is designed from scratch. It also generates it own n-dimensional data set.

Performed graphical and numerical EDA, correlation and residual error analysis, log normalization

Prediction of Abalone's age through its number of rings.

Data Science Project from DataCamp

A library including collection of methods for performing element search in ordered tables

A multivariate time series forecasting of pollution data using ARIMA, LM & ARIMAX in R

No description provided.

This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.

No description provided.

Small Data Analysis Project as part of the Data Science bootcamp at neuefische.

From Scratch implementation of Multivariate Linear Regression

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method where the construction of sample distribution of given statistics occurring through resampling the same observed sample.

Linear Regression Analysis for Bike Rental System using Excel and R

Multivariate Linear Regression

Linear Regression algorithm for two- and multi-dimensional feature space