pysca

SCA

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Inventory-Optimization-Algorithms

Algorithms Library for Supply Chain Inventory Optimization

Inventory-Routing-Problem-IRP-

It can be described as the combination of vehiclerouting and inventory management problems, in which a supplier has to deliver products to a number of geographically dispersed customers, subject to side constraints. It provides integrated logistics solutions by simultaneously optimizing inventory management, vehicle routing, and delivery scheduling. Some exact algorithms and several powerful metaheuristic and matheuristic approaches have been developed for this class of problems, especially in recent years. The purpose of this article is to provide a comprehensive review of this literature, based on a new classification of the problem. We categorize IRPs with respect to their structural variants and the availability of information on customer demand.

iot-predictive-analytics

Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., collect and transmit data on a continuous basis which is Time stamped.

Kaggle-Bosch

Kaggle Project: Bosch Manufacturing

KDD-Cup-2019-CAMMTR

Context-Aware Multi-Modal Transportation Recommendation

Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Marketing-and-Retail-Analytics

In the recent past, e-commerce companies have emerged and flourished in the industry. They offer the convenience to order from a wide variety of options from the comfort of one’s home. But how do they offer these “wide variety of options or products”? To be able to meet the demands of the customers, any e-commerce company would obviously need to st

multi-echelon-inventory-optimization

multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt

Online-Retail-Transactions-of-UK

Analyzing the Online Transactions in UK and the countries who are purchase stuff from them and analyzing the reviews from them using NLP and Machine Learning

Operations-Research

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.

Paddle_baseline_KDD2019

PaddlePaddle baseline for KDD2019 "Context-Aware Multi-Modal Transportation Recommendation"

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Predicting-backorders-in-an-E-com-store-via-ML

Predicting backorders in an E-commerce store to optimize inventory management using Python and Machine Learning.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

SECOM-Detecting-Defected-Items

Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

Smart-Inventory-Control-Of-Distribution-Network

GOC(Global Optimization Challange) https://jdata.jd.com/html/detail.html?id=6

stock-logistics-warehouse

Mirror of OCA/stock-logistics-warehouse that does not include the PRs (optimized for Runbot)

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

StockPricePrediction

Stock Price Prediction using Machine Learning Techniques

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

VRP-RL

Reinforcement Learning for Solving the Vehicle Routing Problem

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow