University project about linear programming problem using regression analysis
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Updated
Feb 13, 2017 - R
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
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