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.ipynb_checkpoints
.ipynb_checkpoints
 
 
ML CookBook
ML CookBook
 
 
010 - Single TLU Network.ipynb
010 - Single TLU Network.ipynb
 
 
0x01-LifeSatisfactionIndex.ipynb
0x01-LifeSatisfactionIndex.ipynb
 
 
0x02-Califonia Housing Corporation.ipynb
0x02-Califonia Housing Corporation.ipynb
 
 
0x03-ML_Classification.ipynb
0x03-ML_Classification.ipynb
 
 
0x04-Training_models.ipynb
0x04-Training_models.ipynb
 
 
0x05-Linear-Regression.ipynb
0x05-Linear-Regression.ipynb
 
 
0x06-Support Vector Machines.ipynb
0x06-Support Vector Machines.ipynb
 
 
0x11-Building an Image Classifier using the Sequential API.ipynb
0x11-Building an Image Classifier using the Sequential API.ipynb
 
 
0x12-Building a Regression MLP Using the Sequential API.ipynb
0x12-Building a Regression MLP Using the Sequential API.ipynb
 
 
0x13-Building Complex Models Using the Functional API.ipynb
0x13-Building Complex Models Using the Functional API.ipynb
 
 
0x14-Tensorboard.ipynb
0x14-Tensorboard.ipynb
 
 
0x15-Fine-Tuning neural networks hyperparameters.ipynb
0x15-Fine-Tuning neural networks hyperparameters.ipynb
 
 
Customer SegmentationML.ipynb
Customer SegmentationML.ipynb
 
 
House Regression Competition.ipynb
House Regression Competition.ipynb
 
 
Image Classification Logistic Regression - multiclass_classification..ipynb
Image Classification Logistic Regression - multiclass_classification..ipynb
 
 
K_Nearest_Neighbors.py
K_Nearest_Neighbors.py
 
 
Linear_regression.py
Linear_regression.py
 
 
NaiveBayes.py
NaiveBayes.py
 
 
README.md
README.md
 
 
Random_forest.py
Random_forest.py
 
 
Supportvectormachine.py
Supportvectormachine.py
 
 
Untitled.ipynb
Untitled.ipynb
 
 
binary_logistic_regression.py
binary_logistic_regression.py
 
 
boston-house-prices-prediction-light-eda.ipynb
boston-house-prices-prediction-light-eda.ipynb
 
 
decision_tree.py
decision_tree.py
 
 
knntest.py
knntest.py
 
 
mlp-tuning-with-keras-tuner.ipynb
mlp-tuning-with-keras-tuner.ipynb
 
 
perceptron.py
perceptron.py
 
 
rnn-chicago-transit-forecast-time-series-analysis.ipynb
rnn-chicago-transit-forecast-time-series-analysis.ipynb
 
 
training-a-dnn-for-image-classification.ipynb
training-a-dnn-for-image-classification.ipynb
 
 

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Getting into Machine Learning and Neural Networks.

Reading on ML and Neural nets. Building systems that scale.

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Starting out in Machine Learning.

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python sql numpy scikit-learn pandas scipy tensorflow2

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