UdacityProjects

All my projects from Udacity Nanodegrees:

Deep Learning

Image Classification

• Dog Breed Classification - PyTorch - Use Deep Convolutional Networks and Transfer Learning to predict its breed from among 133 classes.
• NotPineapple (Capstone) - Classify fruit images as Pineaplle or NotPineapple using Keras.
• CIFAR dataset Classification - PyTorch
• CIFAR dataset Classification - Tensorflow

Natural Language Processing

• TV Script Generation - PyTorch - Generate a TV script using LSTM and Word Embeddings.
• Sentiment Analysis using LSTM - PyTorch - Predict sentiment of Reviews using Word Embeddings and LSTM layers.
• Char-RNN - PyTorch - Implement char-rnn using Pytorch.
• Word2Vec implementation - PyTorch - Implement the Word2Vec Skip-Gram model using Pytorch.

Generative Adversarial Networks

• MNIST GAN - PyTorch - Use GANs to generate new MNIST-like images.
• DCGAN with SVHN dataset - PyTorch - Use Deep Convolutional Networks to generate new images like Street View House Numbers (SVHN) dataset.
• CycleGAN - PyTorch - Generate new images from outlines, using Cycle GANs.

Reinforcement Learning

• Train a Simulated Smartcab to Drive - Use Q-learning techniques for a self-driving agent in a simplified world (PyGame) to aid it in effectively reaching its destinations in the allotted time.

Classical Machine Learning

Supervised Learning

• Finding Donors for CharityML - Use Census data to classify individuals into income brackets.

Unsupervised Learning

• Creating Customer Segments - Use Principal Component Analysis (PCA), Dimensionality Reduction and K-Means / Gaussian Mixture Model (GMM) to divide customers into segments.