rahulg986
MS in Business Analytics - Data Science & Machine Learning enthusiast. 4 years Experienced Software engineer
Denver, CO, USA
Pinned Repositories
Deep-Learning-A-Z
Deep Learning Practices
ditto
DiTTo is a Distribution Transformation Tool that aims at providing an open source framework to convert various distribution systems modeling formats.
Image-OutPainting
Keras Implementation of Painting outside the box
LogisticReg
We will work with an advertising data set.
Machine-Learning-A-Z
MoviesPrediction
Our project team is VARS Consulting. NBCUniversal has contracted VARS Consulting to analyze box office performance and make strategic recommendations to assess their company’s financial performance for upcoming theatrical releases. As part of this consulting engagement we analyzed the box office data for both NBC Universal and other production companies and used it to drive key insights. In this report we detail how we have gathered and prepared the necessary information and satisfied the clients request using a multiple linear regression model. Finally, we use the selected model to predict likely box office outcomes.
Python-for-Data-Scientists
python-tutorials
Introduction to python syntax and libraries. Awesome compilation for machine learning beginners
QuickDraw
A simple implementation of Google's Quick Draw Project for humans.
Slin-Algorithm-Project
rahulg986's Repositories
rahulg986/Deep-Learning-A-Z
Deep Learning Practices
rahulg986/ditto
DiTTo is a Distribution Transformation Tool that aims at providing an open source framework to convert various distribution systems modeling formats.
rahulg986/Image-OutPainting
Keras Implementation of Painting outside the box
rahulg986/LogisticReg
We will work with an advertising data set.
rahulg986/Machine-Learning-A-Z
rahulg986/MoviesPrediction
Our project team is VARS Consulting. NBCUniversal has contracted VARS Consulting to analyze box office performance and make strategic recommendations to assess their company’s financial performance for upcoming theatrical releases. As part of this consulting engagement we analyzed the box office data for both NBC Universal and other production companies and used it to drive key insights. In this report we detail how we have gathered and prepared the necessary information and satisfied the clients request using a multiple linear regression model. Finally, we use the selected model to predict likely box office outcomes.
rahulg986/Python-for-Data-Scientists
rahulg986/python-tutorials
Introduction to python syntax and libraries. Awesome compilation for machine learning beginners
rahulg986/QuickDraw
A simple implementation of Google's Quick Draw Project for humans.
rahulg986/Slin-Algorithm-Project
rahulg986/SolarResourceTools
rahulg986/The-Grand-Complete-Data-Science-Materials