GitHub - leonardgenders/Python: Demonstrations of recommender systems, optimization (linear, nonlinear, integer, greedy heuristics), recommender systems, deep learning in neural networks

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Demonstrations of recommender systems, optimization (linear, nonlinear, integer, greedy heuristics), recommender systems, deep learning in neural networks

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Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
AI_Object_Detection_Final_Project.ipynb		AI_Object_Detection_Final_Project.ipynb
Basics.py		Basics.py
BigData(NYSE)_recommender_systems.py		BigData(NYSE)_recommender_systems.py
BigData(movies)_recommender_systems.py		BigData(movies)_recommender_systems.py
BigData_Spark.py		BigData_Spark.py
Computer Assembly LP and Sensitivity Analysis.ipynb		Computer Assembly LP and Sensitivity Analysis.ipynb
Descriptive Analytics (Time Series_Distribution_Relationship Analysis).ipynb		Descriptive Analytics (Time Series_Distribution_Relationship Analysis).ipynb
Employee Scheduling Optimization.ipynb		Employee Scheduling Optimization.ipynb
Entropy Function from Scratch.py		Entropy Function from Scratch.py
Hotel Data Structuring.ipynb		Hotel Data Structuring.ipynb
Keras MinMaxLayer.py		Keras MinMaxLayer.py
Language Processing.py		Language Processing.py
Linear Programming Predictive Analytics.ipynb		Linear Programming Predictive Analytics.ipynb
Moving Company Pred Analytics and Preprocessing.ipynb		Moving Company Pred Analytics and Preprocessing.ipynb
NASDAQ Nonlinear Optimization.ipynb		NASDAQ Nonlinear Optimization.ipynb
Network Optimization and Greedy Heuristics.ipynb		Network Optimization and Greedy Heuristics.ipynb
Optimization_PrescriptiveAnalytics.py		Optimization_PrescriptiveAnalytics.py
PySpark and SparkSQL with GCP (AMZN Stock Analysis).ipynb		PySpark and SparkSQL with GCP (AMZN Stock Analysis).ipynb
RNN Time Series Prediction.py		RNN Time Series Prediction.py
Recommender System with Inspection.py		Recommender System with Inspection.py
Recommenders (Class Inheritance).py		Recommenders (Class Inheritance).py
Recommenders (Cosine Similarity).py		Recommenders (Cosine Similarity).py
Recommenders Embedding.py		Recommenders Embedding.py
Recommenders.py		Recommenders.py
Reinforcement Learning (Multi Armed Bandit).py		Reinforcement Learning (Multi Armed Bandit).py
Reinforcement Learning.py		Reinforcement Learning.py
Route Optimization.ipynb		Route Optimization.ipynb
Sentiment Analysis (IMDB).py		Sentiment Analysis (IMDB).py
Service and Demand Center Integer Programming.ipynb		Service and Demand Center Integer Programming.ipynb
neural_networks.py		neural_networks.py

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Demonstrations of recommender systems, optimization (linear, nonlinear, integer, greedy heuristics), recommender systems, deep learning in neural networks

deep-neural-networks deep-learning recommender-system nonlinear-optimization optimization-algorithms integer-programming