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harmanveer-2546 / Supply-Chain

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Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

python data ggplot2 numpy supply-chain tidyverse pandas statistical-analysis data-analysis risk-assessment data-cleaning performance-evaluation sales-analysis trend-analysis data-insights customer-segmentation-analysis predictive-analytics-for-business
  • Updated Jul 28, 2024
  • Jupyter Notebook

Totptal-Team / Power-And-Gas-Corporate-Churn---Data-Science-Project-1

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A major gas and electricity utility that supplies to corporate, SME (Small & Medium Enterprise), and residential customers. The power-liberalization of the energy market in Europe has led to significant customer churn, especially in the SME segment. They have partnered with us to help diagnose the source of churning SME customers.

python data-science pandas-dataframe predictive-analytics statistical-models model-predictive-control predictive-analytics-for-business
  • Updated Apr 22, 2023

COOLMudi / Data-Scientist-Spotify-Skip-Action-Prediction-

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It's Technocolabs Software Data Scientist Internship Project (1st Dec 2021 - 15th Jan 2022). In this project the team was instructed to analysis big data of Spotify users and to perform Statistical and Exploratory Data Analysis and Model Development for Predicting Listener Behavior.

spotify data-science data sql pandas-dataframe python-script eda data-visualization python-3 predictive-analytics scikitlearn-machine-learning classification-model data-analysis-python seaborn-plots streamlit undersampling-technique predictive-analytics-for-business spotify-skip-prediction
  • Updated Feb 21, 2022
  • Jupyter Notebook

ashendrasharma / Customer-Segmentation---Using-k-means

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Customer Segmentation - Using k-means, About: Customer Segmentation is a popular application of unsupervised learning. Using clustering, identify segments of customers to target the potential user base. They divide customers into groups according to common characteristics like gender, age, interests, and spending habits.

data-science modeling data-analysis k-means-clustering customer-analytics data-analysis-python segmentation-models predictive-analytics-for-business
  • Updated Aug 22, 2023
  • Jupyter Notebook

nancyalaswad90 / Business-School

Star 6

Today’s business objectives are achieved with user research, design, distribution, analysis, and strategy. Whether you’re getting started or advancing your career, I establish my foundations with many School of Business such as ( Udacity , LinkedIn , IMA , CFI) ,and some Jordanian universities such as (Jdara, Al-Zaytoonah , And Arab Open univers…

accounting product-manager business-analytics ux-designer financial-analyst-path predictive-analytics-for-business
  • Updated Oct 14, 2024

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