GitHub - rdewolf127/udemy-frank: Udemy lectures on data science & machine learning; Sundog Education by Frank Kane

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GenAI
GenAI

MNIST_data
MNIST_data

emails
emails

ml-100k
ml-100k

ConditionalProbabilityExercise.ipynb
ConditionalProbabilityExercise.ipynb

ConditionalProbabilitySolution.ipynb
ConditionalProbabilitySolution.ipynb

CovarianceCorrelation.ipynb
CovarianceCorrelation.ipynb

DecisionTree.ipynb
DecisionTree.ipynb

DeepLearningProject-Solution.ipynb
DeepLearningProject-Solution.ipynb

DeepLearningProject.ipynb
DeepLearningProject.ipynb

Distributions.ipynb
Distributions.ipynb

FinalProjectAssignment.ipynb
FinalProjectAssignment.ipynb

GAN_on_Fashion_MNIST.ipynb
GAN_on_Fashion_MNIST.ipynb

ItemBasedCF.ipynb
ItemBasedCF.ipynb

KFoldCrossValidation.ipynb
KFoldCrossValidation.ipynb

KMeans.ipynb
KMeans.ipynb

KNN.ipynb
KNN.ipynb

Keras-CNN.ipynb
Keras-CNN.ipynb

Keras-RNN.ipynb
Keras-RNN.ipynb

Keras.ipynb
Keras.ipynb

LinearRegression.ipynb
LinearRegression.ipynb

MatPlotLib.ipynb
MatPlotLib.ipynb

MeanMedianExercise.ipynb
MeanMedianExercise.ipynb

MeanMedianMode.ipynb
MeanMedianMode.ipynb

Moments.ipynb
Moments.ipynb

MultipleRegression.ipynb
MultipleRegression.ipynb

MultivariateRegression.ipynb
MultivariateRegression.ipynb

MyPlot.png
MyPlot.png

NaiveBayes.ipynb
NaiveBayes.ipynb

Outliers.ipynb
Outliers.ipynb

PCA.ipynb
PCA.ipynb

PandasTutorial.ipynb
PandasTutorial.ipynb

PastHires.csv
PastHires.csv

Percentiles.ipynb
Percentiles.ipynb

PoliticsExercise.ipynb
PoliticsExercise.ipynb

PolynomialRegression.ipynb
PolynomialRegression.ipynb

Python101.ipynb
Python101.ipynb

Q-Learning.ipynb
Q-Learning.ipynb

README.md
README.md

SVC.ipynb
SVC.ipynb

Seaborn.ipynb
Seaborn.ipynb

SimilarMovies.ipynb
SimilarMovies.ipynb

SparkDecisionTree.py
SparkDecisionTree.py

SparkKMeans.py
SparkKMeans.py

SparkLinearRegression.py
SparkLinearRegression.py

SparkPCA.py
SparkPCA.py

StdDevVariance.ipynb
StdDevVariance.ipynb

TF-IDF.py
TF-IDF.py

TTest.ipynb
TTest.ipynb

Tensorflow.ipynb
Tensorflow.ipynb

TopPages.ipynb
TopPages.ipynb

TrainTest.ipynb
TrainTest.ipynb

TransferLearning.ipynb
TransferLearning.ipynb

Untitled.ipynb
Untitled.ipynb

VLA.jpg
VLA.jpg

VariationalAutoEncoders.ipynb
VariationalAutoEncoders.ipynb

XGBoost.ipynb
XGBoost.ipynb

access_log.txt
access_log.txt

breakfast.jpg
breakfast.jpg

bridge.jpg
bridge.jpg

bunny.jpg
bunny.jpg

castle.jpg
castle.jpg

fighterjet.jpg
fighterjet.jpg

firetruck.jpg
firetruck.jpg

house-votes-84.data.txt
house-votes-84.data.txt

house-votes-84.names.txt
house-votes-84.names.txt

mammo_masses_project.ipynb
mammo_masses_project.ipynb

mammographic_masses.data.txt
mammographic_masses.data.txt

mammographic_masses.names.txt
mammographic_masses.names.txt

peek.jpg
peek.jpg

regression.txt
regression.txt

spydertest.py
spydertest.py

subset-small.tsv
subset-small.tsv

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README
Sundog Education by Frank Kane

Data science, Deep Learning & Machine Learning with Python

Udemy lectures on data science & machine learning

links: https://www.udemy.com/data-science-and-machine-learning-with-python-hands-on/learn/v4/overview http://sundog-education.com/

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Sundog Education by Frank Kane

Data science, Deep Learning & Machine Learning with Python

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
GenAI		GenAI
MNIST_data		MNIST_data
emails		emails
ml-100k		ml-100k
ConditionalProbabilityExercise.ipynb		ConditionalProbabilityExercise.ipynb
ConditionalProbabilitySolution.ipynb		ConditionalProbabilitySolution.ipynb
CovarianceCorrelation.ipynb		CovarianceCorrelation.ipynb
DecisionTree.ipynb		DecisionTree.ipynb
DeepLearningProject-Solution.ipynb		DeepLearningProject-Solution.ipynb
DeepLearningProject.ipynb		DeepLearningProject.ipynb
Distributions.ipynb		Distributions.ipynb
FinalProjectAssignment.ipynb		FinalProjectAssignment.ipynb
GAN_on_Fashion_MNIST.ipynb		GAN_on_Fashion_MNIST.ipynb
ItemBasedCF.ipynb		ItemBasedCF.ipynb
KFoldCrossValidation.ipynb		KFoldCrossValidation.ipynb
KMeans.ipynb		KMeans.ipynb
KNN.ipynb		KNN.ipynb
Keras-CNN.ipynb		Keras-CNN.ipynb
Keras-RNN.ipynb		Keras-RNN.ipynb
Keras.ipynb		Keras.ipynb
LinearRegression.ipynb		LinearRegression.ipynb
MatPlotLib.ipynb		MatPlotLib.ipynb
MeanMedianExercise.ipynb		MeanMedianExercise.ipynb
MeanMedianMode.ipynb		MeanMedianMode.ipynb
Moments.ipynb		Moments.ipynb
MultipleRegression.ipynb		MultipleRegression.ipynb
MultivariateRegression.ipynb		MultivariateRegression.ipynb
MyPlot.png		MyPlot.png
NaiveBayes.ipynb		NaiveBayes.ipynb
Outliers.ipynb		Outliers.ipynb
PCA.ipynb		PCA.ipynb
PandasTutorial.ipynb		PandasTutorial.ipynb
PastHires.csv		PastHires.csv
Percentiles.ipynb		Percentiles.ipynb
PoliticsExercise.ipynb		PoliticsExercise.ipynb
PolynomialRegression.ipynb		PolynomialRegression.ipynb
Python101.ipynb		Python101.ipynb
Q-Learning.ipynb		Q-Learning.ipynb
README.md		README.md
SVC.ipynb		SVC.ipynb
Seaborn.ipynb		Seaborn.ipynb
SimilarMovies.ipynb		SimilarMovies.ipynb
SparkDecisionTree.py		SparkDecisionTree.py
SparkKMeans.py		SparkKMeans.py
SparkLinearRegression.py		SparkLinearRegression.py
SparkPCA.py		SparkPCA.py
StdDevVariance.ipynb		StdDevVariance.ipynb
TF-IDF.py		TF-IDF.py
TTest.ipynb		TTest.ipynb
Tensorflow.ipynb		Tensorflow.ipynb
TopPages.ipynb		TopPages.ipynb
TrainTest.ipynb		TrainTest.ipynb
TransferLearning.ipynb		TransferLearning.ipynb
Untitled.ipynb		Untitled.ipynb
VLA.jpg		VLA.jpg
VariationalAutoEncoders.ipynb		VariationalAutoEncoders.ipynb
XGBoost.ipynb		XGBoost.ipynb
access_log.txt		access_log.txt
breakfast.jpg		breakfast.jpg
bridge.jpg		bridge.jpg
bunny.jpg		bunny.jpg
castle.jpg		castle.jpg
fighterjet.jpg		fighterjet.jpg
firetruck.jpg		firetruck.jpg
house-votes-84.data.txt		house-votes-84.data.txt
house-votes-84.names.txt		house-votes-84.names.txt
mammo_masses_project.ipynb		mammo_masses_project.ipynb
mammographic_masses.data.txt		mammographic_masses.data.txt
mammographic_masses.names.txt		mammographic_masses.names.txt
peek.jpg		peek.jpg
regression.txt		regression.txt
spydertest.py		spydertest.py
subset-small.tsv		subset-small.tsv

rdewolf127/udemy-frank

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Sundog Education by Frank Kane

Data science, Deep Learning & Machine Learning with Python

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