almaraj Goto Github PK

backend-engineer-exercise-solution

customer-segmentation-unsupervised-learning-capstone-project

In this project, your task is to identify major customer segments on a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.

data-scraping-from-flipkart

hotel_booking_analysis

linux-basics

loan-default-prediction-capstone-project

In this project the goal is to increase detection of defaulted loans before the loan is issued/offered by P2P lending company - Lending Club. Peer-to-peer lending differs from traditional financial institutions like banks or commercial lending companies.

machine-learning

null-value-handeling-outlier-treatment-on-sales-data

Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. The task is to forecast the "Sales".

packaging_tutorial

python-instances

sales-prediction-supervised-learning-capstone-project

Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. We are provided with historical sales data for 1,115 Rossmann stores. The task is to forecast the "Sales" column for the test set. Note that some stores in the dataset were temporarily closed for refurbishment.