jiegzhan/machine-learning-stanford

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Created about 8 years ago
Updated over 7 years ago

jiegzhan/machine-learning-stanford

jiegzhan

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Stanford machine learning class on Coursera. Taught by Andrew Ng. Implemented the assignments with Matlab.

multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

image-classification-rnn

Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

time-series-forecasting-rnn-tensorflow

Time series forecasting

build-elasticsearch-index

Build an Elasticsearch index with Python APIs on AWS EC2. Search the Elasticsearch index with appropriate queries.

kaggle

Build machine learning and deep learning models on Kaggle.

Jupyter Notebook

jiegzhan

Enjoy the journey.