Alternatives and similar repositories for ml-time-series-analysis-on-sales-data

Users that are interested in ml-time-series-analysis-on-sales-data are comparing it to the libraries listed below

• jalajthanaki / credit-risk-modelling
  Credit Risk analysis by using Python and ML
  ☆168Updated 7 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 …
  ☆135Updated 7 years ago
• DataForScience / Timeseries
  Timeseries for everyone
  ☆262Updated 2 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…
  ☆31Updated 5 years ago
• Sangarshanan / time-series-forecasting
  Understanding time series forecasting
  ☆65Updated 5 years ago
• Pradnya1208 / Time-series-forecasting-using-Deep-Learning
  The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
  ☆36Updated 3 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
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆48Updated 4 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.
  ☆48Updated 7 years ago
• Deffro / Data-Science-Portfolio
  This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…
  ☆82Updated 9 months ago
• lucko515 / clustering-python
  Different clustering approaches applied on different problemsets
  ☆40Updated 5 years ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆147Updated 4 years ago
• harishpuvvada / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆167Updated 6 years ago
• vb100 / multivariate-lstm
  ☆78Updated 5 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆104Updated 6 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆81Updated 3 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆35Updated 7 years ago
• nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
  A study and comparison of Risk Modeling algorithms (Capstone Project)
  ☆36Updated 7 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…
  ☆91Updated 5 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago
• fedinb / Inventory-Optimization
  Scripts inspired by book Inventory Optimization by Nicolas Vandeput.
  ☆44Updated 4 years ago
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• tirthajyoti / Finance-with-Python
  Financial data analytics with Python
  ☆75Updated 5 years ago
• vishnukanduri / Time-series-analysis-in-Python
  I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The A…
  ☆60Updated 5 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆106Updated 2 years ago
• MGCodesandStats / energy-weather-modelling
  Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and tempe…
  ☆49Updated last year
• krishnaik06 / ARIMA-And-Seasonal-ARIMA
  ☆221Updated 3 years ago