Found 530 repositories(showing 30)
nanthasnk
This repository contain Data Analysis on Black Friday Sales Data using various Regression ML algorithms
venkat-0706
Black Friday Sales Analysis explores customer demographics, purchasing behaviors, and product trends to uncover insights and patterns driving sales during Black Friday events.
0xcodemate
No description available
shoreyarchit
We all eagerly wait for Black Friday sales and plan ahead in order to make most out of it. Similar is the objective of a retail outlet on Black Friday. They also aspire to bring the best out of this day. The major objective of a store is to maximize the revenue on this day, by selling off a large proportion of their unsold inventory. The main challenge to achieve this objective is “What optimal prices should the store set to capture demand that maximizes revenue?” The problem we solve would help the business to get the predicted Purchase amount (or Willingness to Pay) for each product for each user. They can use this then to set optimal prices on the product (using Multinomial Model for Price Optimization or others). So, when we find Black Friday Sales Analysis data on Kaggle, it highly motivated our team to work for this interesting real-world problem for ABC Retail Store.
An EDA and purchase prediction in Python for Black Friday sales data.
mathubhalan
An Exploratory Data Analysis on Black Friday sales dataset from Kaggle
projects including good data visualistion using numpy,pandas,matplotlib,seaborn library
sahilkhan-7
Black Friday Sales Analysis
fikriozcan
No description available
Apurvarajoff
No description available
shibam120302
This repository contain Data Analysis on Black Friday Sales Data using various Regression ML algorithms
rajshritotla
Using R language studied and created a report on consumer behavior and sold products
Keerthiraj-Nagaraj
User demographic data driven purchase amount prediction with regression models for Black Friday sales data
RamanjaneyareddyTV
No description available
RamanjaneyareddyTV
No description available
HarshChaudhary1312
- Conducted comprehensive Exploratory Data Analysis (EDA) on the Black Friday sales dataset using Python's powerful data analysis and visualization libraries such as NumPy, Pandas, and Seaborn. - Explored diverse sales data facets including customer demographics, product categories, and purchase behaviors, uncovering actionable insights and visuals
Arjun-Gopalakrishnan
My solution for the Black Friday Sales Prediction exit test. This repository contains the Jupyter Notebook with the full data science workflow, from data preprocessing and exploratory data analysis to building and evaluating a LightGBM model. The final submission and leaderboard score are also included
vikasJAT5112
BLACK FRIDAY SALES ANALYSIS
anushkac15
No description available
Black Friday Sales: Analysis and Prediction
wandabwa2004
Black Friday Sales Analysis in SAS
anushatsatish
Regression, classification models using R to predict factors influencing Black Friday sales.
Pranav-Sharmaa
Black Friday sales analysis: uncover trends, customer behavior, and product insights for informed business strategies.
Jayasurya227
No description available
IshanSrivastav
This Black Friday Sales Data Analysis project provides insights into customer demographics and purchasing behavior using a dataset with 537,578 entries and 12 features. By leveraging Pandas, NumPy, and Seaborn, we explore trends across age, gender, occupation, and marital status.
This Project gives an insight into few statistics related to black Friday Sale.
SyedsPortfolio
No description available
Yuwa251
No description available
MiguelNegron1
No description available
steveee27
This repository analyzes Black Friday sales data to uncover customer behavior patterns and purchasing trends. Using EDA and predictive modeling (Linear and Random Forest Regression), the project provides actionable insights to help businesses optimize sales strategies for future events.