University project about linear programming problem using regression analysis

Code for the exercises of the Machine Learning course offered by Stanford University on Coursera.

A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis

ML assignments from CSci 5525 at UMN

Package provides javascript implementation of linear regression and logistic regression

Investigating fairness in city services via linear regression

Describe the data set. Create predictive models, describe, and assess their accuracy. Visualize. Determine source(s) of data. Assign to source(s).

The linear regression models are developed as part of final report of "Advanced Analytics" module at University of Derby.

Combating fake news problem

Used to collect exercises about linear regression and models from tutorials for archiving issues and to find out information faster when needed

Machine Learning case-studies at WPI. Projects covers the following data science topics such as NLP, Pre-processing, Analytics, visualization, dimension reduction, classification and regression.

Shiny app visualization of answers to the survey of business conditions in two refugees camps in Rwanda

Data science projects

HDF5 files in spark, MusicMillionData

Developed Machine Learning models in Python to correctly Recognize handwritten letter and face images by training and later testing the models. The machine learning algorithms developed were Support Vector Machine, K- Nearest Neighbor and Nearest Centroid Classifier.

Machine learning, database, and quant tools for forex trading.

Use python Jupyter notebooks (numpy, pandas, matplotlib, etc) to implement and test simple machine learning algorithms.

This repository focuses on the projects that I would be doing on "Linear Regression". Feel free to make any improvements. Thanks