Pinned Repositories
chatgpt-prompt-engineering
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
Cplex-Python
Jupyter notebooks for Cplex and python
Data-Science-project-Aerospace-engineering
The solution proposed here is a RUL detection system, which selects a suitable machine-learning algorithm based on the characteristics of input data set to model degradation of the engine. The predicted RUL can then be used to estimate the heath of the engine and to decide if maintenance or replacement is needed.
Data_Science_Course
Data Science Course
jupyter-examples
Predictive_Maintenance
This is a simple predictive maintenance project using multiple linear regression. The dataset used is not a standard dataset rather it is a dummy dataset created by me. The model takes input values like no of hours before maintenance and works best for values in range between 300 to 2000, Average hours of use everyday and works best for values in range 6 to 15 and number of days after last maintenance in range 20 to 100. The accuracy of the model is about 75%.
py
Repository to store sample python programs for python learning
pypchem
Python code for use in courses in Physical Chemistry
Thesis-Knapsack-with-Metaheuristic
VRP-witch-Tabu-Search
Es un problema de ruteo vehicular aplicado a metaheuristica de Tabu Search, sujeto a edición.
MickaZZZ's Repositories
MickaZZZ/Cplex-Python
Jupyter notebooks for Cplex and python
MickaZZZ/jupyter-examples
MickaZZZ/Thesis-Knapsack-with-Metaheuristic
MickaZZZ/VRP-witch-Tabu-Search
Es un problema de ruteo vehicular aplicado a metaheuristica de Tabu Search, sujeto a edición.
MickaZZZ/chatgpt-prompt-engineering
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
MickaZZZ/Data-Science-project-Aerospace-engineering
The solution proposed here is a RUL detection system, which selects a suitable machine-learning algorithm based on the characteristics of input data set to model degradation of the engine. The predicted RUL can then be used to estimate the heath of the engine and to decide if maintenance or replacement is needed.
MickaZZZ/Data_Science_Course
Data Science Course
MickaZZZ/Predictive_Maintenance
This is a simple predictive maintenance project using multiple linear regression. The dataset used is not a standard dataset rather it is a dummy dataset created by me. The model takes input values like no of hours before maintenance and works best for values in range between 300 to 2000, Average hours of use everyday and works best for values in range 6 to 15 and number of days after last maintenance in range 20 to 100. The accuracy of the model is about 75%.
MickaZZZ/py
Repository to store sample python programs for python learning
MickaZZZ/pypchem
Python code for use in courses in Physical Chemistry
MickaZZZ/Teoria-Colas