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inventory-research

A python library for Inventory Management research. Includes cost functions for deterministic and stochastic (stationary) demand, as well as the data-sets used in the literature.

machine-learning-with-python

Python code for common Machine Learning Algorithms

machinelearning-featureselection

Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.

major-donor-prediction

Using data on donor interactions with a large charity, can we predict when a minor donor is likely to become a major donor?

market_mix_modelling

nlp-sentiment

Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.

online-retail-case

Studying Online Retail Dataset and getting insights from it

partkeepr

Open Source Inventory Management

predicting-real-estate-prices-with-arima

Tool for identifying the best areas of Philadelphia for real estate investment in terms of ROI.

predictive-maintenance

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

predictive_maintenance_using_machine-learning_microsoft_casestudy

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

price-optimisation

pricewars

Price Wars - A Simulation Platform for Dynamic Pricing Competition

pricing-optimization

product-recommendation

Product Recommender System for Retail Dataset

production-plan-optimization

production-scheduling

Solving an item production scheduling problem with the help of mathematical optimization

pycaret

An open-source, low-code machine learning library in Python

real-estate

Machine learning Regression problem with easy understandable solutions

real_estate_machine_learning

Modelling real estate market in Budapest using machine learning

retail-analytics

retail-forecasting-optimal-pricing

End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)

retail-machine-learning

Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm

retail_price_analytics

rocketeers_uhack

Video processing in real-time with heatmaps for public spaces

salesintelligence

Applying product segmentation, demand forecasting, and revenue optimization to increase online retailer revenue

scraper

For scraping and tracking prices of products.

simrlfab

Simulation and reinforcement learning framework for production planning and control of complex job shop manufacturing systems

stock-forecaster

:chart_with_upwards_trend: A web based stock forecaster in Django with predictive analysis

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall