dingdl / ds-learning-projects

A list of my data science learning projects

My data science learning projects

This repo contains all the projects that I have done to improve my data science skills through Udacity nanodegree programs.

Introduction to Machine Learning with TensorFlow

• Syllabus
• Certificate
• Projects
  • Donar Search: A practice of various supervised learning techniques for typical classification problems.
  • Flower Image Classfication: Build a basic feedforward neural network with Tensorflow for a typical image classification problem.
  • Customer Segmentation: Apply dimensionality reduction technique (PCA) and unsupervised learning (kmeans) for solving a typical clustering problem.

Deep Learning

• Syllabus
• Certificate
• Projects
  • Bike-Sharing Pattern Prediction: Build a basic feedforward neural network from scratch with Numpy.
  • Dog Breed Classification: Build a convolutional neural network (CNN) with PyTorch.
  • TV Script Generation: Build a recurrent neural network (RNN) with PyTorch.
  • Face Generation: Build a generative adversarial network (GAN) with PyTorch.
  • Sagemaker deployment: Build a RNN model for sentimental analysis with AWS's Sagemaker.