GitHub - kenperry-public/ML_Spring_2022: NYU Tandon Machine Learning and Finance Spring 2022

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NYU Tandon Machine Learning and Finance Spring 2022

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Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
DataAugmentation		DataAugmentation
assignments		assignments
images		images
pdf		pdf
Adversarial_Examples.ipynb		Adversarial_Examples.ipynb
Attention_Lookup.ipynb		Attention_Lookup.ipynb
Autoencoder_example.ipynb		Autoencoder_example.ipynb
Autoencoder_for_conditional_risk_factors.ipynb		Autoencoder_for_conditional_risk_factors.ipynb
Autoencoders_and_Generative_Models.ipynb		Autoencoders_and_Generative_Models.ipynb
Bias_and_Variance.ipynb		Bias_and_Variance.ipynb
CNN_Convolution_as_Matrix_Multiplication.ipynb		CNN_Convolution_as_Matrix_Multiplication.ipynb
CNN_Overview.ipynb		CNN_Overview.ipynb
CNN_Space_and_Time.ipynb		CNN_Space_and_Time.ipynb
CNN_demo.ipynb		CNN_demo.ipynb
CNN_pictorial.ipynb		CNN_pictorial.ipynb
Categorical_Variables.ipynb		Categorical_Variables.ipynb
Choosing_an_ML_Environment_NYU.ipynb		Choosing_an_ML_Environment_NYU.ipynb
Classification_Baseline_Model.ipynb		Classification_Baseline_Model.ipynb
Classification_Log_Odds.ipynb		Classification_Log_Odds.ipynb
Classification_Loss_Function.ipynb		Classification_Loss_Function.ipynb
Classification_Notebook_Overview.ipynb		Classification_Notebook_Overview.ipynb
Classification_Overview.ipynb		Classification_Overview.ipynb
Classification_and_Non_Numerical_Data.ipynb		Classification_and_Non_Numerical_Data.ipynb
Colab_practical.ipynb		Colab_practical.ipynb
Computation_Graphs.ipynb		Computation_Graphs.ipynb
Course_overview_NYU.ipynb		Course_overview_NYU.ipynb
DNN_TensorFlow_Using_TF_version_1.ipynb		DNN_TensorFlow_Using_TF_version_1.ipynb
DNN_TensorFlow_example.ipynb		DNN_TensorFlow_example.ipynb
Decision_Trees.ipynb		Decision_Trees.ipynb
Decision_Trees_Notebook_Overview.ipynb		Decision_Trees_Notebook_Overview.ipynb
Decision_Trees_Overview.ipynb		Decision_Trees_Overview.ipynb
Deep_Learning_Coda.ipynb		Deep_Learning_Coda.ipynb
Dogs_and_Cats_reformat.ipynb		Dogs_and_Cats_reformat.ipynb
Dummy_Variable_Trap.ipynb		Dummy_Variable_Trap.ipynb
Ensembles.ipynb		Ensembles.ipynb
Entropy_Cross_Entropy_KL_Divergence.ipynb		Entropy_Cross_Entropy_KL_Divergence.ipynb
Error_Analysis.ipynb		Error_Analysis.ipynb
Error_Analysis_MNIST.ipynb		Error_Analysis_MNIST.ipynb
Error_Analysis_Overview.ipynb		Error_Analysis_Overview.ipynb
Feature_Importance.ipynb		Feature_Importance.ipynb
Fine_tuning.ipynb		Fine_tuning.ipynb
GAN_Overview.ipynb		GAN_Overview.ipynb
Getting_Started.ipynb		Getting_Started.ipynb
Gradient_Descent.ipynb		Gradient_Descent.ipynb
Gradient_ascent.ipynb		Gradient_ascent.ipynb
Imbalanced_Data.ipynb		Imbalanced_Data.ipynb
Index.ipynb		Index.ipynb
Interpretation_of_DL_Attention.ipynb		Interpretation_of_DL_Attention.ipynb
Interpretation_of_DL_Deconv.ipynb		Interpretation_of_DL_Deconv.ipynb
Interpretation_of_DL_Gradient_Ascent.ipynb		Interpretation_of_DL_Gradient_Ascent.ipynb
Interpretation_of_DL_Simple.ipynb		Interpretation_of_DL_Simple.ipynb
Interpretation_of_DL_Simple_PCA.ipynb		Interpretation_of_DL_Simple_PCA.ipynb
Interpretation_preview.ipynb		Interpretation_preview.ipynb
Intro_Classical_ML.ipynb		Intro_Classical_ML.ipynb
Intro_to_Attention.ipynb		Intro_to_Attention.ipynb
Intro_to_CNN.ipynb		Intro_to_CNN.ipynb
Intro_to_Interpretation_of_DL.ipynb		Intro_to_Interpretation_of_DL.ipynb
Intro_to_LSTM.ipynb		Intro_to_LSTM.ipynb
Intro_to_Neural_Networks.ipynb		Intro_to_Neural_Networks.ipynb
Intro_to_RNN.ipynb		Intro_to_RNN.ipynb
Jupyter_quick_tour.ipynb		Jupyter_quick_tour.ipynb
Keras_Advanced.ipynb		Keras_Advanced.ipynb
Keras_examples_LSTM_text_generation.ipynb		Keras_examples_LSTM_text_generation.ipynb
Keras_examples_imdb_cnn.ipynb		Keras_examples_imdb_cnn.ipynb
LSTM_API.ipynb		LSTM_API.ipynb
LSTM_Overview.ipynb		LSTM_Overview.ipynb
LSTM_Workings.ipynb		LSTM_Workings.ipynb
Latex_macros.ipynb		Latex_macros.ipynb
Linear_Model_Interpretation.ipynb		Linear_Model_Interpretation.ipynb
Linear_Regression_HigherOrderFeatures.ipynb		Linear_Regression_HigherOrderFeatures.ipynb
Linear_Regression_Loss_Function.ipynb		Linear_Regression_Loss_Function.ipynb
Linear_Regression_Overview.ipynb		Linear_Regression_Overview.ipynb
Loss_functions.ipynb		Loss_functions.ipynb
ML_Notation.ipynb		ML_Notation.ipynb
ML_Overview.ipynb		ML_Overview.ipynb
Matrix_Gradient.ipynb		Matrix_Gradient.ipynb
Missing_Data.ipynb		Missing_Data.ipynb
Multinomial_Classification.ipynb		Multinomial_Classification.ipynb
NLP_BPE.ipynb		NLP_BPE.ipynb
NLP_Convolution.ipynb		NLP_Convolution.ipynb
NLP_Embeddings.ipynb		NLP_Embeddings.ipynb
NLP_GPT.ipynb		NLP_GPT.ipynb
NLP_Overview.ipynb		NLP_Overview.ipynb
NLP_Recent.ipynb		NLP_Recent.ipynb
NLP_Tokens.ipynb		NLP_Tokens.ipynb
NLP_Word_Representations.ipynb		NLP_Word_Representations.ipynb
Naive_Bayes.ipynb		Naive_Bayes.ipynb
Neural_Network_Layer_Review.ipynb		Neural_Network_Layer_Review.ipynb
Neural_Networks_Activations.ipynb		Neural_Networks_Activations.ipynb
Neural_Networks_Intro_to_Training.ipynb		Neural_Networks_Intro_to_Training.ipynb
Neural_Networks_Overview.ipynb		Neural_Networks_Overview.ipynb
Neural_Programming.ipynb		Neural_Programming.ipynb
Neural_Style_Transfer.ipynb		Neural_Style_Transfer.ipynb
NumPy_quick_tour.ipynb		NumPy_quick_tour.ipynb
PCA_Yield_Curve_Intro.ipynb		PCA_Yield_Curve_Intro.ipynb
Pandas_quick_tour.ipynb		Pandas_quick_tour.ipynb
Prepare_data_Overview.ipynb		Prepare_data_Overview.ipynb
RNN_API.ipynb		RNN_API.ipynb
RNN_Gradients.ipynb		RNN_Gradients.ipynb
RNN_Long_Sequences.ipynb		RNN_Long_Sequences.ipynb