Alternatives and similar repositories for Retail-Coupon-Recommendation-for-Revenue-Optimization:

Users that are interested in Retail-Coupon-Recommendation-for-Revenue-Optimization are comparing it to the libraries listed below

• vasukumar92 / Machine-Learning-based-Car-Insurance-Claim-Prediction
  It is important for insurance companies to estimate the risk involved while covering a future customer. Predicting the chances of insuran…
  ☆13Updated 5 years ago
• cereniyim / Customer-Segmentation-Unsupervised-ML-Model
  Customer-base segmentation over e-commerce sales data
  ☆25Updated 4 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• bits-bytes-nn / mofc-demand-forecast
  Time Series Forecasting for the M5 Competition
  ☆40Updated 3 years ago
• boutrosrg / Predictive-Maintenance-In-PySpark
  ☆29Updated 6 years ago
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆103Updated 2 years ago
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆33Updated 5 years ago
• vishnukanduri / Credit-Risk-Modeling-in-Python
  Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…
  ☆87Updated 4 years ago
• dimvasdim / Thesis
  Dynamic pricing of e-shop products through machine learning algorithms
  ☆47Updated 4 years ago
• SukonyaPhukan92 / Image_Based_Air_Pollution_detection_using_InceptionV3_Model
  In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achiev…
  ☆11Updated 3 years ago
• fedinb / Inventory-Optimization
  Scripts inspired by book Inventory Optimization by Nicolas Vandeput.
  ☆39Updated 4 years ago
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆42Updated 4 years ago
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆32Updated 3 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆183Updated last year
• sidneyocirqueira / material-de-estudo-dp100
  Material de estudo DP100
  ☆11Updated 3 years ago
• disojn / Time-Series-EDA-and-Forecast
  In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…
  ☆28Updated 5 years ago
• PacktWorkshops / The-Deep-Learning-with-Keras-Workshop
  An Interactive Approach to Understanding Deep Learning with Keras
  ☆49Updated 2 years ago
• wellzero / finance_quant
  this project is developing to crawl stock A finance and trade data from website, process finance and trade data to get factors, and then …
  ☆14Updated 2 years ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆95Updated last month
• RegaipKURT / Credit-Risk-Modelling
  ☆23Updated 4 years ago
• nikhitmago / lookalike-modelling
  Finding customer lookalikes using Machine Learning in PySpark
  ☆33Updated 6 years ago
• erfanMhi / Genetic-algorithms-for-credit-scoring
  Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature se…
  ☆25Updated 6 years ago
• PacktPublishing / Hands-On-Ensemble-Learning-with-Python
  Hands-On Ensemble Learning with Python, published by packt publishing
  ☆55Updated 2 years ago
• sandeepgit32 / Demand_forcasting_and_safety_stock_management
  Demand forcasting using time series analysis and safety stock optimization to provide desired service level
  ☆16Updated 5 years ago
• yasamanensafi / retail_store_sales_forecasting
  Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…
  ☆30Updated 4 years ago
• KaiquanMah / Training
  ☆8Updated last week
• dmeoli / OnlineRetail
  Data Mining project 2020/2021 @ University of Pisa
  ☆12Updated 4 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆115Updated 8 months ago