GitHub - oozdal/Dive-Into-Machine-Learning: Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications

oozdal / Dive-Into-Machine-Learning Public

Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications

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Name		Name	Last commit message	Last commit date
Latest commit History 139 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Association Rule Learning		Association Rule Learning
Classifications		Classifications
Clustering		Clustering
Convolutional Neural Networks		Convolutional Neural Networks
Data Lifecycle		Data Lifecycle
Data Preprocessing		Data Preprocessing
Deep Learning		Deep Learning
Deploying_ML_Models		Deploying_ML_Models
Dimensionality Reduction		Dimensionality Reduction
HDEnergy_Test		HDEnergy_Test
Hotel_booking		Hotel_booking
Improving Deep Neural Networks		Improving Deep Neural Networks
Keras with TensorFlow		Keras with TensorFlow
ML_GeoData		ML_GeoData
ML_Hackathon_2021		ML_Hackathon_2021
Machine Learning		Machine Learning
Model Selection		Model Selection
Modeling_Pipelines		Modeling_Pipelines
Natural Language Processing		Natural Language Processing
Neural Networks and Deep Learning		Neural Networks and Deep Learning
Numpy Foundations		Numpy Foundations
PyTorch Foundations		PyTorch Foundations
Regression		Regression
Reinforcement Learning		Reinforcement Learning
Saving and Loading Models		Saving and Loading Models
Time Series Forecasting		Time Series Forecasting
models		models
.DS_Store		.DS_Store
.gitattributes		.gitattributes