MachineLearnResearch

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

Name		Name	Last commit message	Last commit date
Latest commit History 102 Commits
.ipynb_checkpoints		.ipynb_checkpoints
DogBreed Classifier		DogBreed Classifier
MLSS-warwick		MLSS-warwick
artistic-style-transfer-master		artistic-style-transfer-master
bh_Playground		bh_Playground
cifar10		cifar10
customer_segments		customer_segments
finding_donors		finding_donors
mnist		mnist
notebooks		notebooks
practice_projects		practice_projects
smartcab		smartcab
tools		tools
Arenas.csv		Arenas.csv
Arenas.xlsx		Arenas.xlsx
Bayes Optimal Classifier.ipynb		Bayes Optimal Classifier.ipynb
Cifar10-cnn.ipynb		Cifar10-cnn.ipynb
ConfusionMatrix.ipynb		ConfusionMatrix.ipynb
Count words.ipynb		Count words.ipynb
DataTree.jpg		DataTree.jpg
Debit Amount.ipynb		Debit Amount.ipynb
Decision Tree Accuracy example code.ipynb		Decision Tree Accuracy example code.ipynb
Demo Notebook.ipynb		Demo Notebook.ipynb
EncodingData.ipynb		EncodingData.ipynb
EvaluateAccuracy.ipynb		EvaluateAccuracy.ipynb
F1 Scores.ipynb		F1 Scores.ipynb
Faces recognition.ipynb		Faces recognition.ipynb
Feature Scaling.ipynb		Feature Scaling.ipynb
Gaussian NB Example.ipynb		Gaussian NB Example.ipynb
Leagues Database (version 1).xlsb.xlsx		Leagues Database (version 1).xlsb.xlsx
LineClass.PY		LineClass.PY
Linear Learner_Quadratic Data.bmp		Linear Learner_Quadratic Data.bmp
Linear Learner_Quadratic Data.ipynb		Linear Learner_Quadratic Data.ipynb
Maximum Likelihood Hypothesis.ipynb		Maximum Likelihood Hypothesis.ipynb
Mean absolute error.ipynb		Mean absolute error.ipynb
Mean squared error.ipynb		Mean squared error.ipynb
Neural Networks in Keras.ipynb		Neural Networks in Keras.ipynb
Noisy Data.ipynb		Noisy Data.ipynb
Numpy tutorial.ipynb		Numpy tutorial.ipynb
Pandas Tutorial.ipynb		Pandas Tutorial.ipynb
Perceptron Update Rule.ipynb		Perceptron Update Rule.ipynb
Perceptron-2.ipynb		Perceptron-2.ipynb
Perceptron-2Data.csv		Perceptron-2Data.csv
Perceptron.ipynb		Perceptron.ipynb
PlaneClass.PY		PlaneClass.PY
Precission and Recall.ipynb		Precission and Recall.ipynb
README.md		README.md
Softmax.ipynb		Softmax.ipynb
Solution.ipynb		Solution.ipynb
Split data sklearn.ipynb		Split data sklearn.ipynb
Supervised models.docx		Supervised models.docx
TestLinearAlgebraClasses.ipynb		TestLinearAlgebraClasses.ipynb
Titanic_Survival_Exploration.ipynb		Titanic_Survival_Exploration.ipynb
VectorClass.PY		VectorClass.PY
basic graphics.ipynb		basic graphics.ipynb
bayesian tree example.xmind		bayesian tree example.xmind
calc the entropy.ipynb		calc the entropy.ipynb
calc weights.png		calc weights.png
classifiercomparison.png		classifiercomparison.png
classifiercomparison2.png		classifiercomparison2.png
clusters.pdf		clusters.pdf
conv-dims.py		conv-dims.py
count words Fan.ipynb		count words Fan.ipynb
countwords.ipynb		countwords.ipynb
eigenfaces.png		eigenfaces.png
entropyCalc.xlsx		entropyCalc.xlsx
facePrediction.png		facePrediction.png
final_project_dataset.pkl		final_project_dataset.pkl
first DataFrame.ipynb		first DataFrame.ipynb
high variance example.bmp		high variance example.bmp
k_means_cluster.ipynb		k_means_cluster.ipynb
model.weights.best.hdf5		model.weights.best.hdf5
naivesBayes.jpg		naivesBayes.jpg
pandas tutorial 2.ipynb		pandas tutorial 2.ipynb
pattern testing-Copy1.ipynb		pattern testing-Copy1.ipynb
pattern testing.ipynb		pattern testing.ipynb
perceptron trick.png		perceptron trick.png
pooling layer test.ipynb		pooling layer test.ipynb
testing perceptrom.txt		testing perceptrom.txt
testing tensorflowGPU.ipynb		testing tensorflowGPU.ipynb
titanic_data.csv		titanic_data.csv
turtle example.ipynb		turtle example.ipynb
untitled.txt		untitled.txt
untitled1.txt		untitled1.txt
venueMaps.ipynb		venueMaps.ipynb

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