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A collection of experiments in machine Learning. mainly in python
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.ipynb_checkpoints
DogBreed Classifier
MLSS-warwick
artistic-style-transfer-master
bh_Playground
cifar10
customer_segments
finding_donors
mnist
notebooks
practice_projects
smartcab
tools
Arenas.csv
Arenas.xlsx
Bayes Optimal Classifier.ipynb
Cifar10-cnn.ipynb
ConfusionMatrix.ipynb
Count words.ipynb
DataTree.jpg
Debit Amount.ipynb
Decision Tree Accuracy example code.ipynb
Demo Notebook.ipynb
EncodingData.ipynb
EvaluateAccuracy.ipynb
F1 Scores.ipynb
Faces recognition.ipynb
Feature Scaling.ipynb
Gaussian NB Example.ipynb
Leagues Database (version 1).xlsb.xlsx
Linear Learner_Quadratic Data.bmp
Linear Learner_Quadratic Data.ipynb
Maximum Likelihood Hypothesis.ipynb
Mean absolute error.ipynb
Mean squared error.ipynb
Neural Networks in Keras.ipynb
Noisy Data.ipynb
Numpy tutorial.ipynb
Pandas Tutorial.ipynb
Perceptron Update Rule.ipynb
Perceptron-2.ipynb
Perceptron-2Data.csv
Perceptron.ipynb
Precission and Recall.ipynb
README.md
Softmax.ipynb
Solution.ipynb
Split data sklearn.ipynb
Supervised models.docx
Titanic_Survival_Exploration.ipynb
basic graphics.ipynb
bayesian tree example.xmind
calc the entropy.ipynb
calc weights.png
classifiercomparison.png
classifiercomparison2.png
clusters.pdf
conv-dims.py
count words Fan.ipynb
countwords.ipynb
eigenfaces.png
entropyCalc.xlsx
facePrediction.png
final_project_dataset.pkl
first DataFrame.ipynb
high variance example.bmp
k_means_cluster.ipynb
model.weights.best.hdf5
naivesBayes.jpg
pandas tutorial 2.ipynb
pattern testing-Copy1.ipynb
pattern testing.ipynb
perceptron trick.png
pooling layer test.ipynb
testing perceptrom.txt
testing tensorflowGPU.ipynb
titanic_data.csv
turtle example.ipynb
untitled.txt
untitled1.txt
venueMaps.ipynb

README.md

MachineLearnResearch

my personal research about machine learning. I deleted my old repository and moved the code to this new one repository.

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