GitHub - Karthik-Ragunath/Mathematics_For_Machine_Learning: Works done as part of exploring and understanding mathematics behind machine learning algorithms

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Courses Scoresheet		Courses Scoresheet
Mathematics for ML Bills		Mathematics for ML Bills
0a187866618ca3049030ec5014860ae8-original.pdf		0a187866618ca3049030ec5014860ae8-original.pdf
Affine_Transform_Cov_Mean.py		Affine_Transform_Cov_Mean.py
Backpropagation.ipynb		Backpropagation.ipynb
Backpropagation_Python.py		Backpropagation_Python.py
Derivation of orthogonal projection into higher Dimensional Space.pdf		Derivation of orthogonal projection into higher Dimensional Space.pdf
Fitting_Non-Linear-Regression.ipynb		Fitting_Non-Linear-Regression.ipynb
Fitting_Non-Linear-Regression_Python.py		Fitting_Non-Linear-Regression_Python.py
Generating_Set_Vectors.pdf		Generating_Set_Vectors.pdf
Gradient+descent+in+a+sandpit+Python.py		Gradient+descent+in+a+sandpit+Python.py
Gradient+descent+in+a+sandpit.ipynb		Gradient+descent+in+a+sandpit.ipynb
GramSchmidtProcess-Fair.ipynb		GramSchmidtProcess-Fair.ipynb
GramSchmidtProcess-Fair.py		GramSchmidtProcess-Fair.py
GramSchmidtProcess.ipynb		GramSchmidtProcess.ipynb
GramSchmidtProcess.py		GramSchmidtProcess.py
Groups_And_Vector_Spaces.pdf		Groups_And_Vector_Spaces.pdf
IdentifyingSpecialMatrices.ipynb		IdentifyingSpecialMatrices.ipynb
IdentifyingSpecialMatrices.py		IdentifyingSpecialMatrices.py
Inner_Product_And_Angles.ipynb		Inner_Product_And_Angles.ipynb
Inner_Product_And_Angles_Python.py		Inner_Product_And_Angles_Python.py
Mathematics_For_MachineLearning_Certificate.pdf		Mathematics_For_MachineLearning_Certificate.pdf
MatrixCalculus-Derivations-Explained.pdf		MatrixCalculus-Derivations-Explained.pdf
Orthogonal and Orthonormal Vectors.pdf		Orthogonal and Orthonormal Vectors.pdf
Orthogonal_Projections-Linear_Regression.ipynb		Orthogonal_Projections-Linear_Regression.ipynb
Orthogonal_Projections-Linear_Regressions-PythonFile.py		Orthogonal_Projections-Linear_Regressions-PythonFile.py
PCA_DimensionalityReduction.ipynb		PCA_DimensionalityReduction.ipynb
PCA_Final_WithHighDimensionApprox.ipynb		PCA_Final_WithHighDimensionApprox.ipynb
PCA_notebook.ipynb		PCA_notebook.ipynb
PageRank.ipynb		PageRank.ipynb
PageRank.py		PageRank.py
ReflectingBear.ipynb		ReflectingBear.ipynb
ReflectingBear.py		ReflectingBear.py
The_Sandpit_ML_Calculas_PythonCode.py		The_Sandpit_ML_Calculas_PythonCode.py
The_Sandpit_MultivariateCalculas.ipynb		The_Sandpit_MultivariateCalculas.ipynb
The_Sandpit_Part_2_ipynb.ipynb		The_Sandpit_Part_2_ipynb.ipynb
Variance_Covariance.ipynb		Variance_Covariance.ipynb
backpropagation.py		backpropagation.py
numpy_tutorial.ipynb		numpy_tutorial.ipynb
pca-notebooks.zip		pca-notebooks.zip
reflecting_bear_rough.ipynb		reflecting_bear_rough.ipynb