farzaliizadi Goto Github PK

2015

Public material for CS109

2019_bdc_workshops

Workshops for the 2019 BDC

advertising-model-selection

advertising-regressions

In this repository we fit almost all the regressors to find the best one for this dataset.

afts

An individual repo for Analysis of Financial Time Series

anomalous

Anomalous time series package for R

bank-loan-sas-macro

In this repository, we use SAS and SAS macro to predict whether a customer pay his/her monthly payment or not based on many variables.

books

business-analytics-using-r

Source code for 'Business Analytics Using R - A Practical Approach' by Umesh Hodeghatta Rao and Umesh Nayak

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid19italy

Italy covid19 data

customer-churn-on-telecommuication-data

In this repositorty, we used 14 classifiers to a telecommunication data to predict whether a custome churn or not. This is a result of a course of data camp but with 80% improvements.

customer-segmentation-via-pca-and-kmeans-clustering

In this repository, we uses principal component analysis and KMeans clustering to segment customers into separate clusters.

data-sets

This is for datasets only

datasets

CSV datasets used in Plotly API examples

decision-tree-on-survey-data

In this repository, we use decision tree to study a data set called survey.

diamonds-classifications

This data is diamonds which has ((rows, columns) = (53940, 10). The goal is to classify into 8 clarity types

dlmbook

DLM本読みながらの写経＆試行

ffdt-for-churn-data-set

In this repository, fast and frugal decision tree is used to predict if the customer churns or stays with the plan.

ffdt-for-stock-price

In this repository, we used fast and frugal decision tree to predict the stock price and descide if to sell or but the stock.

fraud-detection-in-python

I this repository, logistic refression is used to detect fraud detection on bank credit cards

generalized-additive-models-to-capture-the-death-rates-in-canada-covid-19

hello_world

hierarchical-clustering-on-cars-in-r

hierarchical-clustering-on-on-ocean-data

house-prices-prediction-in-python

In this repository, we will discuss Linear Regressin, KNN, Random Forest, and SVM.SVR. The data set for these project is called house prices. It is a csv file consists of 500000 observations and 16 features

linear-regression-on-product-sales

I this repository, we use linear regression to predict sales of some products.

macbeth

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

model-selection-for-advertising-dataset