apban2589 Goto Github PK

all-hyperparamter-optimization

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome

A curated list of awesome lists

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

bankrupcy---logistic-regression-r

initial version

data-visualization--cincinnati-food-safety-inspection

The visual insights will help understand how the restaurants are maintaining the food quality standards over a period of time. Accordingly, the department can identify the businesses that are violating Food Safety Code repeatedly and issue stringent warnings. Based on the insights, the department can design different food safety training programs that can promote food handling procedures and thus prevent foodborne illness.

datasciencepython

common data analysis and machine learning tasks using python

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

getting-and-cleaning-data

Getting and Cleaning Data using R

intro2stats

Introduction to Statistics using Python

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

modeling-using-r

pandas_exercises

Practice your pandas skills!

predicting-loan-repayment

In the lending industry, investors provide loans to borrowers in exchange for the promise of repayment with interest. If the borrower repays the loan, then the lender profits from the interest. However, if the borrower is unable to repay the loan, then the lender loses money. Therefore, lenders face the problem of predicting the risk of a borrower being unable to repay a loan.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

salaryprediction

Examine a set of job postings with salaries and then predict salaries for a new set of job postings

walmart-forecasting