## Repurposing code to create MY perfect stock chart (edited)

Creating Charts
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Welcome to this blog dedicated to ML in R

Creating Charts
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Detecting and counting objects with Neural Network - Part I
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Introduction and aim
Correlation
Regression
Diagnostics.
Conclusions
Zachs Challenge ;-)
Anova & checking Assumptions
Assumption of normality
Assumption of homogeneity of variance
Test performance
Acknowledgements
References
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Import the data
Tidy the data
Understand the data
Transform the data
Pre-process the data
Using PCA
Using LDA
Model the data
Logistic regression
Random Forest
KNN
Support Vector Machine
Neural Network with LDA
Models evaluation
References
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Caluclate Rate of Change, aka ROC
Tidyways ….
The TTR way
Conclusion
Calculate Simple Moving Average
TTR package
the Zoo package
RcppRoll package
RollingWindows
The Roll package
Conclusion
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