Alternatives and similar repositories for final-project-kaggle-predict-future-sales

Users that are interested in final-project-kaggle-predict-future-sales are comparing it to the libraries listed below

• blurred-machine / Sales-and-Marketing-Analytics
  This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…
  ☆74Updated 5 years ago
• tstreamDOTh / Instacart-Market-Basket-Analysis
  Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦
  ☆37Updated 7 years ago
• tule2236 / Airbnb-Dynamic-Pricing-Optimization
  [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…
  ☆221Updated 6 years ago
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆134Updated 7 years ago
• storieswithsiva / Kaggle-Predicting-Future-Sales
  📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…
  ☆58Updated 4 years ago
• mukulsinghal001 / customer-lifetime-prediction-using-python
  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…
  ☆146Updated 2 years ago
• lucko515 / clustering-python
  Different clustering approaches applied on different problemsets
  ☆39Updated 5 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆34Updated 6 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆47Updated 7 years ago
• HegdeChaitra / Bank-Marketing-Campaign-Analysis
  Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
  ☆61Updated 7 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆104Updated 2 years ago
• susanli2016 / Practical-Data-Science-Specialization
  Coursera Course
  ☆13Updated 3 years ago
• mkucz95 / customer_segmentation
  Unsupervised ML: Finding Customer Segments in General Population
  ☆16Updated 5 years ago
• jalajthanaki / Job_recommendation_engine
  This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
  ☆63Updated 7 years ago
• druce / iowa
  Iowa House Prices Kaggle (top 5%)
  ☆12Updated last year
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆19Updated 3 years ago
• LevinJ / Supply-demand-forecasting
  supply demmand gap prediction for ride-hailing
  ☆76Updated 7 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• enesozi / Credit-Risk-Analysis
  ☆38Updated 7 years ago
• samirsaci / ml-forecast-features-eng
  Machine Learning for Retail Sales Forecasting — Features Engineering
  ☆66Updated 8 months ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆89Updated 2 years ago
• apalle1 / M5-Hierarchical-Time-Series-Forecasting
  LGBM
  ☆16Updated 4 years ago
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆27Updated 5 years ago
• samarthmistry / Retail-Forecasting-Optimal-Pricing
  End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …
  ☆35Updated 5 years ago
• ROHANNAIK / Sales-Prediction
  In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…
  ☆112Updated 7 years ago
• randylaosat / Predicting-Employee-Turnover-Complete-Guide-Analysis
  Understand why employees leave a company and apply various machine learning models to predict the next leaver!
  ☆52Updated 7 years ago
• curiousily / Deploy-Keras-Deep-Learning-Model-with-Flask
  Build Deep Neural Network model in Keras and deploy a REST API to production with Flask on Google App Engine
  ☆33Updated 2 years ago
• zhan656 / Consumer-Behavior-Analytics-1
  ☆20Updated 6 years ago
• samirsaci / supply-chain-optimization
  Supply Chain Optimization with Python
  ☆96Updated 4 months ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆140Updated 4 years ago