This is part of the Artificial Intelligence live course, hosted by Packtpub. In this repository, you can find information to build your environment and the files of the coding exercises that will be covered during the live session.
Python 2 and 3 are used.
Supervised Learning:
- Finding Donors -> https://github.com/lmego/finding_donors/blob/master/finding_donors.ipynb
- Allstate -> https://github.com/fernandodamasio/allstate
- Vehicle Detection -> https://github.com/archelogos/CarND-Vehicle-Detection/blob/master/vehicle_detection.ipynb
Deep Learning:
- Traffic Signs -> https://github.com/upul/Traffic-Signs/blob/master/Traffic_Signs_Recognition.ipynb
- Behavioral Cloning -> https://github.com/naokishibuya/car-behavioral-cloning
Reinforcement Learning:
- Microsoft Airsim -> https://github.com/Microsoft/AirSim/blob/master/docs/reinforcement_learning.md
- Smart Cab -> https://github.com/Rajat-dhyani/Smart-Cab
Unsupervised Learning: