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Here I will show my journey through Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Archivos Normalizados
Archivos Normalizados
 
 
ML_Book
ML_Book
 
 
Tesis
Tesis
 
 
Vegetation_detection
Vegetation_detection
 
 
datasets
datasets
 
 
images
images
 
 
my_fashion_mnist
my_fashion_mnist
 
 
my_keras_model
my_keras_model
 
 
my_logs
my_logs
 
 
my_model_A
my_model_A
 
 
my_model_with_a_custom_loss
my_model_with_a_custom_loss
 
 
my_model_with_a_custom_loss_class
my_model_with_a_custom_loss_class
 
 
my_model_with_a_custom_loss_threshold_2
my_model_with_a_custom_loss_threshold_2
 
 
my_model_with_a_custom_metric
my_model_with_a_custom_metric
 
 
my_model_with_a_custom_metric_v2
my_model_with_a_custom_metric_v2
 
 
my_model_with_many_custom_parts
my_model_with_many_custom_parts
 
 
20230710_tesis_pruebainicial.ipynb
20230710_tesis_pruebainicial.ipynb
 
 
202307_tesis_pruebainicial.ipynb
202307_tesis_pruebainicial.ipynb
 
 
Deep_Computer_Vision_Using_Convolutian_Neural_Networks.ipynb
Deep_Computer_Vision_Using_Convolutian_Neural_Networks.ipynb
 
 
Loading and Preprocessing Data with TensorFlow .ipynb
Loading and Preprocessing Data with TensorFlow .ipynb
 
 
MNIST.ipynb
MNIST.ipynb
 
 
MonteToro.csv
MonteToro.csv
 
 
README.md
README.md
 
 
RGBtoSeparatedBands.ipynb
RGBtoSeparatedBands.ipynb
 
 
River Flow Levels.ipynb
River Flow Levels.ipynb
 
 
RiverFlowLevels_Neural_Prophet.ipynb
RiverFlowLevels_Neural_Prophet.ipynb
 
 
River_Flow_Levels_RNN.ipynb
River_Flow_Levels_RNN.ipynb
 
 
Support Vector Machines.ipynb
Support Vector Machines.ipynb
 
 
Training Deep Neural Networks.ipynb
Training Deep Neural Networks.ipynb
 
 
Training Models.ipynb
Training Models.ipynb
 
 
Unsupervised Learning Techniques.ipynb
Unsupervised Learning Techniques.ipynb
 
 
Whisper .ipynb
Whisper .ipynb
 
 
chatbot.py
chatbot.py
 
 
checkpoint
checkpoint
 
 
end_to_end_ml_project
end_to_end_ml_project
 
 
fcc_book_recommendation_knn.ipynb
fcc_book_recommendation_knn.ipynb
 
 
group1-shard1of2.bin
group1-shard1of2.bin
 
 
group1-shard2of2.bin
group1-shard2of2.bin
 
 
index.html
index.html
 
 
model.json
model.json
 
 
my_checkpoints.data-00000-of-00001
my_checkpoints.data-00000-of-00001
 
 
my_checkpoints.index
my_checkpoints.index
 
 
my_compressed.tfrecord
my_compressed.tfrecord
 
 
my_data.tfrecord
my_data.tfrecord
 
 
my_fashion_mnist_model.png
my_fashion_mnist_model.png
 
 
my_model_A.h5
my_model_A.h5
 
 
my_test_0.tfrecord
my_test_0.tfrecord
 
 
my_test_1.tfrecord
my_test_1.tfrecord
 
 
my_test_2.tfrecord
my_test_2.tfrecord
 
 
my_test_3.tfrecord
my_test_3.tfrecord
 
 
my_test_4.tfrecord
my_test_4.tfrecord
 
 
my_weights.data-00000-of-00001
my_weights.data-00000-of-00001
 
 
my_weights.index
my_weights.index
 
 
person.proto
person.proto
 
 
rivers_merged1.csv
rivers_merged1.csv
 
 

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Data-Science-Journey

Here I will show my journey through Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. This Journey will begin with the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron.

Now I'm focused on Computer Vision to develop my thesis.

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Here I will show my journey through Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.

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