I am officially taking Udacity Data Scientist nano-degree and I decided to summarize the projects that I am doing here. Projects 1,2 and 3 are part of the Machine Learning Engineering Nano degree that I did not take the course and only did the projects.
These projects cover almost all aspects of Machine learning other than Reinforcement learning,
The major libraries used in these projects are:
- numpy,
- pandas,
- scickitlearn,
- Keras,
- Pytorch
1- boston_housing : A regression example
2- dog_app_Keras: An image classifier example using Keras
3- finding_donors: clustering and classification example by using scikitlearn library
4- 4-Identify_Customer_Segments: more sofisticated clustering example by using scikitlearn library
5-1-Image Classifier Project_PyTorch: An image classifier example using PyTorch
5-2-3-4- Solves exact same problem in 5-1 utilizing argpars in command prompt