snowdj Goto Github PK

cs230_dl

♊ Stanford CS230 : Deep Learning

cs231n

CS231n Convolutional Neural Networks for Visual Recognition (winter 2016) - Assignments

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231n_cnn

🍉 Stanford CS231n Convolutional Neural Networks for Visual Recognition

cs234_rl

🐲 Stanford CS234 : Reinforcement Learning

cs236_dgm

🦍 Stanford CS236 : Deep Generative Models

cs50

:green_book: Problem sets for CS50 course by Harvard University

cs524

Optimization

cs524-group-assignment-optimization

Use MIQP to improve the group assignment of college computer science courses

cs524-optimization

Homework assignment code (written in Julia) from CS524, a course focused on modeling linear and nonlinear programs.

cs524_project

Project for the course CS524

cs652

University of San Francisco CS652 -- Programming Languages

cs_course

Exercises and projects for machine learning, statistical modeling, Python and C++.

csguidebook

CS Guidebook

csp2020-workshop

:dart: :school_satchel: Materials for a full-day workshop on Targeted Learning with the tlverse at the 2020 Conference on Statistical Practice

css18.github.io

css2012

Matlab, Python, and Julia codes for 2012 Paper by Cogley, Sargent, and Surico

csss508

CSSS508: Introduction to R for Social Scientists

ct5102

Programming for Data Analytics Module @NUI Galway

cufebuaaseminars

Seminars Given By Li&Kang Group

cuny

Deliverables for my MSDA courses at CUNY

cuny-sps

CUNY School of Professional Studies Course Work

curso_analisis_numerico

Material del curso de Analisis Numerico, Universidad ORT Uruguay

customer-churn-prediction

Project on Customer-Churn prediction for DHFL Hackathon

customer-energy-profiling-using-big-data

A comprehensive guide to deal with big data encountered in power systems, as well as to an initiative in facilitating customer behavior profiling for customer participation in Electricity Markets.

customerchurn

customerchurn-for-bank

Keras, Scikit-learn, TensorFlow

customerchurn-logistics

customerchurnanalysis

Project to analyze and predict which customers will leave or stay with company. Uses Deep Learning with Artificial Neural Networks to predict customer leave/stay probability. This gives the business valuable insights into where they need to address customers that have a high probability of leaving. This model has been turned and reaches and accuracy rate of ~87% with its predictions of unseen data.

customerchurnann

Predicting churn of telecom customers using Artificial Neural Network in R