SamDewriter/PharmaceuticalSales-Prediction SamDewriter/PharmaceuticalSales-Prediction

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 3 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
SamDewriter/PharmaceuticalSales-Prediction
github

SamDewriter

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Pharmaceutical sales prediction across multiple stores. The finance team at Rossman Pharmaceuticals wants to forecast sales in all their stores across several cities six months ahead. This project is an approach to carry out the task

More Repositories

1

UserAnalytics-Telecommunication

User Analytics in the Telecommunication industry. The focus of this project is to explore a given set of Telecommunication data to analyze users experience, engagement and satisfaction.
Jupyter Notebook
2
star
2

BreastCancer-CausalityInference

The repository shows an approach to perform casual inference on Breast Cancer Data. Causal inference is carried out to determine the independent, actual effect of breast cancer that is component of a larger system
Jupyter Notebook
2
star
3

PharmaceuticalApp-Deployed

Deployed Rossman Pharmaceutical Sales App for the finance team to forecast sales across several cities.
Python
1
star
4

week8

1
star
5

mysql-dwh

A data warehouse that stores data pulled from a website into a MySQL database
Python
1
star
6

DatabaseMigration

This project focuses on migrating a database from MySQL server to postgre server
Jupyter Notebook
1
star
7

landslot

Landslot is a bloggging app written in Flask
HTML
1
star
8

Week6-AgriTech

This python module can be used to fetch, visualise, and transform publicly available satellite and LIDAR data. In particular, this code will interface with USGS 3DEP and fetch data using their API.
Jupyter Notebook
1
star
9

ABHypothesisTesting-AdCampaignPerformance

The focus of the project is A/B testing. A/B testing is a user experience research methodolgy. In this project, we used the data provided by Smart Ad to carry out A/B testing to analyse how customers engaged with an advert released by the company.
Jupyter Notebook
1
star
10

DataEngineering-DataWarehouse

This project focuses on creating a scalable data warehouse tech-stack that will help a startup to receive a stream of data and analyse the data to provided insights.
Jupyter Notebook
1
star