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rfm-for-customer-analysis-in-r

risk-deployment

sample

simple-linear-regression

Simple linear regression is supervised machine learning algorithm. which is use to find the relationship between one independent variable and one dependent variable. The data-set contain 2 variable one is dependent which is Salary and the other is Experience. so with the help of these data we have to predict the salary based on the Years of Experience.

simple-linear-rregression-with-transformation-using-r

In this simple linear regression we have to predict the price of diamond which is our dependent variable based on carat which is a independent variable. so for this we are using R programming.

sms-message-spam-detector

A simple Flask API to detect spam or ham using Python and Sklearn

sql_poject

folder to save sql codes

svm-pga15

ALSKDFJ ;LKAJSDF ;LKJ ;LKJASDF ;LKJASDF

svm-project

this project is used to predict loan status

t1

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-rcomendation-system

test-60

themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

time-series-analaysis-in-r

two-way-anova-in-r

The objective is to find the difference in car sale exits because of car type or season . in data there are 3 column 1st is sale and other two are factor which has multiple level

xyz-corporation-lending-data-project

People often save their money in the banks which offer security but with lower interest rates. Lending Club operates an online lending platform that enables borrowers to obtain a loan, and investors to purchase notes backed by payments made on loans. It is transforming the banking system to make credit more affordable and investing more rewarding. But this comes with a high risk of borrowers defaulting the loans. Hence there is a need to classify each borrower as defaulter or not using the data collected when the loan has been given.