Pinned Repositories
applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
MSc_dissertation_2022
Volatility Models for Safety Stock; A Simulation Based Study
rl_for_budget_constrained_recs
Sell_Out_Sell_In_Forecasting
Sell Out Sell In Forecasting project implemented at Nestlé
Supply-Chain-Optimization
The United States Agency for International Development (USAID, usaid.gov) is an independent agency from the U.S. federal government that is a leader in supporting the developing countries around the world in terms of education, economy, health, agriculture and many other fields. One of the Agency’s biggest projects is supply of medicine commodities to more than 60 countries around the globe. For the past couple of years USAID have been under the attention of the public due to the constant delay of deliveries in their supply chain. In 2016 only, the organization signed a contract with a supplier for $9.5 billion but faced a lot of criticism since the agency published that 30-50% of medicine deliveries arrived later than planned. Delayed deliveries can increase the supply chain costs for USAID as that will increase their storage needs for storing excess inventory, but more importantly, can disrupt a patient’s treatment, or potentially cause a loss of life. The solution for this problem can be a machine learning model - a combination of a classifier and a regressor, that will predict if a specific delivery in the supply chain of USAID is going to be delayed, and after that forecast the delay time of a potential delayed delivery. This can assist USAID’s representatives around the world in planning accordingly for a particular delivery arrival and make the necessary changes in order to prevent the possible side-effects.
SupplyChainReinforcement
Supply Chain Reinforcement Learning
SupplyChainReinforcement-SCM-RL
SupplyChainv0_gym
Reinforcement Learning for Optimal inventory policy
value-at-risk
A notebook exploring the value at risk metric for portfolio analysis.
kishorkukreja's Repositories
kishorkukreja/ApacheKafkaTutorials
Example Code for Kafka Tutorials @ Learning Journal
kishorkukreja/bcs-lstm
kishorkukreja/Convolutional_neural_network
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
kishorkukreja/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
kishorkukreja/depy2016
kishorkukreja/exercises
kishorkukreja/Gaussian_Mixture_Models
This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
kishorkukreja/mapr-streams-sparkstreaming-hbase
kishorkukreja/MarketVectors
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
kishorkukreja/python-accelerometer-data
Python script to plot data collected by the accelerometer.
kishorkukreja/python-elevator-challenge
So You Think You Can Program An Elevator
kishorkukreja/RNN-Amazon-Fine-Food-Reviews
Amazon Fine Food Reviews Sentiment Analysis with Recurrent Neural Network
kishorkukreja/RNNs
kishorkukreja/spark-ml-kmeans-uber
kishorkukreja/Spark_Projects
Spark Projects for the Berkeley Data Science Course
kishorkukreja/Stock_Market_Prediction
This is the code for "Stock Market Prediction" by Siraj Raval on Youtube
kishorkukreja/StockPredictions
Stock Predictions through NYTimes article headlines sentiment analysis.
kishorkukreja/tasksegmentation