This repository contains my practice and submissions for Udacity's nanodegree program 'AI Programming with Python'.
First Project: Use Pre-trained Image Classifier to Identify Dog Breeds
The first project deals with using a given pre-trained image classifier in order to identify dog breeds and demonstrating the necessary Python skills for setting up a machine learning project.
*Please note that the foundation of the code was provided by Udacity as a starting point for the project.
Focus on library packages for Python for data wrangling, data analysis for large data, and data visualization.
- NumPy Mini-Project Mean normalize and separate data
- Pandas Mini-Project Get statistics from stock data
Learn the basics of Linear Algebra and why it is an important tool in the world of AI.
Learn foundational topics in calculus to understand how to train a neural network.
Learn concepts and how to apply concepts to design neural networks and algorithms to solve particular problems.
**For my final project for the AI programming in Python nanodegree at Udacity, I built and trained an image classifier to recognize different species of flowers on a Flower Dataset and then predicted new flower images. The Dataset contains 102 flower categories.
I developed the code in Python for an image classifier built with PyTorch, then converted into a command line applications: train.py, predict.py. The code is first implement in a Jupyter notebook. Image_Classifier