Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
☆68Dec 30, 2019Updated 6 years ago
Alternatives and similar repositories for product-sales-forecasting
Users that are interested in product-sales-forecasting are comparing it to the libraries listed below
Sorting:
- Exponential Smoothing, SARIMA, Facebook Prophet☆12Jan 3, 2021Updated 5 years ago
- ☆28Sep 17, 2021Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆61Apr 29, 2022Updated 3 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Jun 14, 2019Updated 6 years ago
- Label satellite images from the Amazon basin, in order to better track and understand causes of deforestation.☆15Feb 23, 2021Updated 5 years ago
- This is the reposiory for learning to code in Python. I will be uploading the files to this repository and I will be walking through thes…☆16Feb 13, 2019Updated 7 years ago
- 使用LSTM预测商品销量,考虑销量激增点影响☆36May 10, 2019Updated 6 years ago
- package for automated sales forecasting☆20Sep 8, 2023Updated 2 years ago
- 👾 blockchain starting kit - rust edition☆26Oct 14, 2024Updated last year
- Website of Question Answer Generation☆17Feb 2, 2023Updated 3 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Jun 17, 2024Updated last year
- Forecasting Monthly Sales of French Champagne - Perrin Freres☆26Jun 23, 2019Updated 6 years ago
- ☆24Jun 15, 2020Updated 5 years ago
- Architecture of Streaming Twitter Data into Apache Kafka cluster, performing simple sentiment analysis with afinn module, storing the dat…☆20Jan 3, 2020Updated 6 years ago
- I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.☆23Dec 20, 2023Updated 2 years ago
- Chatbot based Seq2Seq model with bidirectional rnn and attention mechanism with tensorflow, trained on Cornell Movie-Dialogs Corpus and d…☆24Aug 24, 2020Updated 5 years ago
- Source code of the institutional insights TradingView indicator.☆10Jan 30, 2025Updated last year
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆44Mar 2, 2026Updated last week
- FiscalSim US is a microsimulation model of the US federal and state tax and benefit system relating to households and individuals.☆11Dec 20, 2024Updated last year
- ☆25May 7, 2020Updated 5 years ago
- Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Bin…☆10Apr 26, 2018Updated 7 years ago
- Exploratory data analysis of Airbnb bookings in New York City to gain insights into the travel industries and Uncovers trends, patterns, …☆48Mar 11, 2023Updated 2 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Oct 18, 2020Updated 5 years ago
- I will be considering the google stocks data and will create a LSTM network for prediction.☆34Oct 15, 2023Updated 2 years ago
- ☆10Dec 8, 2020Updated 5 years ago
- A Deepfake detector based on hybrid EfficientNet CNN and Vision Transformer archietcture. The model is explainable by rendering a heatma…☆15Mar 16, 2022Updated 3 years ago
- Vagrantfile, nodejs, php7, postgresql, mysql, nginx☆13Aug 18, 2016Updated 9 years ago
- Predictive Maintenance using Pyspark☆130Apr 26, 2019Updated 6 years ago
- Final Year Project, based on the idea of analysing and predicting cryptocurrency prices.☆35Dec 8, 2022Updated 3 years ago
- Graphical Models in Heavy-Tailed Markets (NeurIPS 2021)☆40May 28, 2023Updated 2 years ago
- Cutting people out automatically using Image translation's architecture Pix2Pix☆36Mar 25, 2023Updated 2 years ago
- Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.☆33Jan 27, 2021Updated 5 years ago
- SimPET is a framework intended to setup and launch PET imaging Monte Carlo simulations on a simple way. It uses popular tools such as Sim…☆12Sep 26, 2024Updated last year
- This repository contains Matlab code for conducting geostatistical inverse modeling using large atmospheric datasets.☆10Aug 28, 2025Updated 6 months ago
- top3-solution☆10Feb 28, 2020Updated 6 years ago
- Scripts for validating retirement plans using Monte Carlo analysis.☆11Updated this week
- The Sensor Observation Service (SOS) extension for ArcGIS Server is implemented as a so-called Server Object Extension (SOE). It allows q…☆10Oct 11, 2024Updated last year
- I am a final year student who is in track of becoming a data analyst. My repositories contain all the beginner and intermediate projects …☆13Jun 14, 2023Updated 2 years ago
- This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.☆10Nov 17, 2017Updated 8 years ago