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[ DevCourseWeb com ] Udemy - Numerical Methods and Optimization in Python
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01 - Introduction
001 Introduction.mp4
001 Introduction_en.vtt
02 - ### NUMERICAL METHODS ###
001 Floating point numbers.mp4
001 Floating point numbers_en.vtt
002 Precision and accuracy.mp4
002 Precision and accuracy_en.vtt
003 Rounding errors.mp4
003 Rounding errors_en.vtt
004 Speed consideration - C, Java and Python.mp4
004 Speed consideration - C, Java and Python_en.vtt
03 - Linear Algebra
001 Matrix multiplication introduction.mp4
001 Matrix multiplication introduction_en.vtt
002 Matrix multiplication implementation.mp4
002 Matrix multiplication implementation_en.vtt
002 MatrixMultiplication.py
003 Running time analysis of matrix multiplication.mp4
003 Running time analysis of matrix multiplication_en.vtt
004 Matrix vector multiplication.mp4
004 Matrix vector multiplication_en.vtt
004 MatrixVectorMultiplication.py
005 Inner product.mp4
005 Inner product_en.vtt
005 InnerProduct.py
006 Lists and NumPy arrays.mp4
006 Lists and NumPy arrays_en.vtt
007 Matrix operations with NumPy.mp4
007 Matrix operations with NumPy_en.vtt
04 - Linear Systems and Gaussian Elimination
001 What is Gaussian elimination.mp4
001 What is Gaussian elimination_en.vtt
002 Gaussian elimination illustration.mp4
002 Gaussian elimination illustration_en.vtt
003 What is pivoting.mp4
003 What is pivoting_en.vtt
004 Gaussian elimination and singular matrixes.mp4
004 Gaussian elimination and singular matrixes_en.vtt
005 Mathematical formulation of Gaussian elimination.html
05 - Gauss Elimination Implementation
001 Gaussian elimination implementation I.mp4
001 Gaussian elimination implementation I_en.vtt
002 GaussElimination.py
002 Gaussian elimination implementation II.mp4
002 Gaussian elimination implementation II_en.vtt
06 - #1 Challenge - Portfolio Optimization
001 Portfolio optimization introduction.mp4
001 Portfolio optimization introduction_en.vtt
002 Portfolio optimization implementation.mp4
002 Portfolio optimization implementation_en.vtt
07 - Eigenvalues And Eigenvectors
001 What are eigenvalues and eigenvectors.mp4
001 What are eigenvalues and eigenvectors_en.vtt
002 Eigenvalues and eigenvectors implementation.mp4
002 Eigenvalues and eigenvectors implementation_en.vtt
003 Applications of eigenvectors in machine learning.mp4
003 Applications of eigenvectors in machine learning_en.vtt
004 Mathematical formulation of eigenvectors.html
08 - #2 Challenge - Google's PageRank Algorithm
001 Graph representation of the WWW.mp4
001 Graph representation of the WWW_en.vtt
002 Crawling the web with breadth-first search.mp4
002 Crawling the web with breadth-first search_en.vtt
003 The original formula.mp4
003 The original formula_en.vtt
004 PageRank algorithm example.mp4
004 PageRank algorithm example_en.vtt
005 Matrix representation of the problem.mp4
005 Matrix representation of the problem_en.vtt
006 The random surfer model.mp4
006 The random surfer model_en.vtt
007 What are the problems with the random surfer model.mp4
007 What are the problems with the random surfer model_en.vtt
008 PageRank algorithm - the final formula.mp4
008 PageRank algorithm - the final formula_en.vtt
009 Power method.mp4
009 Power method_en.vtt
010 Original scientific paper of PageRank algorithm.html
09 - Interpolation
001 What is interpolation.mp4
001 What is interpolation_en.vtt
002 Interpolation illustration.mp4
002 Interpolation illustration_en.vtt
003 Interpolation implementation I.mp4
003 Interpolation implementation I_en.vtt
004 Interpolation implementation II.mp4
004 Interpolation implementation II_en.vtt
004 LagrangeInterpolation.py
005 Applications of interpolation.mp4
005 Applications of interpolation_en.vtt
006 Mathematical formulation of interpolation.html
10 - Root Finding
001 Root of functions introduction.mp4
001 Root of functions introduction_en.vtt
002 Bisection method introduction.mp4
002 Bisection method introduction_en.vtt
003 Bisection method implementation.mp4
003 Bisection method implementation_en.vtt
003 BisectionMethod.py
004 Newton method introduction.mp4
004 Newton method introduction_en.vtt
005 Newton method implementation.mp4
005 Newton method implementation_en.vtt
005 NewtonRaphsonMethod.py
006 Mathematical formulation of root finding.html
11 - Numerical Integration
001 Integration introduction.mp4
001 Integration introduction_en.vtt
002 Rectangle method introduction.mp4
002 Rectangle method introduction_en.vtt
003 Rectangle method implementation.mp4
003 Rectangle method implementation_en.vtt
003 RectangleIntegral.py
004 Trapezoidal integral introduction.mp4
004 Trapezoidal integral introduction_en.vtt
005 Trapezoidal integral implementation.mp4
005 Trapezoidal integral implementation_en.vtt
005 TrapezoidalIntegral.py
006 Simpson's method introduction.mp4
006 Simpson's method introduction_en.vtt
007 Simpson's method implementation.mp4
007 Simpson's method implementation_en.vtt
007 SimpsonMethod.py
008 Mathematical formulation of numerical integration.html
12 - #3 Challenge - Monte-Carlo Integration
001 What is the Monte-Carlo method.mp4
001 What is the Monte-Carlo method_en.vtt
002 Monte-Carlo integral implementation I.mp4
002 Monte-Carlo integral implementation I_en.vtt
002 MonteCarloIntegral.py
003 Monte-Carlo integral implementation II.mp4
003 Monte-Carlo integral implementation II_en.vtt
003 MonteCarloIntegral2.py
004 Applications of Monte-Carlo simulations in finance.mp4
004 Applications of Monte-Carlo simulations in finance_en.vtt
13 - Differential Equations
001 How to deal with differential equations.mp4
001 How to deal with differential equations_en.vtt
002 Euler's method introduction.mp4
002 Euler's method introduction_en.vtt
003 Euler's method example.mp4
003 Euler's method example_en.vtt
003 EulerMethodExample1.py
004 Euler's method example - pendulum.mp4
004 Euler's method example - pendulum_en.vtt
004 EulerMethodExample2.py
005 Euler's method example - pendulum with drag.mp4
005 Euler's method example - pendulum with drag_en.vtt
006 Runge-Kutta method introduction.mp4
006 Runge-Kutta method introduction_en.vtt
007 Runge-Kutta method example I.mp4
007 Runge-Kutta method example I_en.vtt
007 RungeKuttaExample1.py
008 Runge-Kutta method example II.mp4
008 Runge-Kutta method example II_en.vtt
008 RungeKuttaExample2.py
009 Mathematical formulation of numerical differentiation.html
14 - ### NUMERICAL OPTIMIZATION (MACHINE LEARNING ALGORITHMS) ###
001 What is gradient descent.mp4
001 What is gradient descent_en.vtt
002 Gradient descent implementation.mp4
002 Gradient descent implementation_en.vtt
002 GradientDescent.py
003 Gradient descent with momentum.mp4
003 Gradient descent with momentum_en.vtt
004 Stochastic gradient descent introduction.mp4
004 Stochastic gradient descent introduction_en.vtt
005 Stochastic gradient descent implementation I.mp4
005 Stochastic gradient descent implementation I_en.vtt
005 StochasticGradientDescent.py
006 Stochastic gradient descent implementation II.mp4
006 Stochastic gradient descent implementation II_en.vtt
006 StochasticGradientDescentRegression.py
007 What is ADAGrad.mp4
007 What is ADAGrad_en.vtt
008 ADAGrad implementation.mp4
008 ADAGrad implementation_en.vtt
008 GradientDescentAdaGrad.py
009 What is RMSProp.mp4
009 What is RMSProp_en.vtt
010 ADAM optimizer introduction.mp4
010 ADAM optimizer introduction_en.vtt
011 ADAM optimizer implementation.mp4
011 ADAM optimizer implementation_en.vtt
011 ADAM.py
012 Mathematical formulation of optimization algorithms in machine learning.html
15 - ### APPENDIX - PYTHON PROGRAMMING CRASH COURSE ###
001 Python crash course introduction.html
16 - Appendix #1 - Python Basics
001 First steps in Python.mp4
001 First steps in Python_en.vtt
002 What are the basic data types.mp4
002 What are the basic data types_en.vtt
003 Booleans.mp4
003 Booleans_en.vtt
004 Strings.mp4
004 Strings_en.vtt
005 String slicing.mp4
005 String slicing_en.vtt
006 Type casting.mp4
006 Type casting_en.vtt
007 Operators.mp4
007 Operators_en.vtt
008 Conditional statements.mp4
008 Conditional statements_en.vtt
009 How to use multiple conditions.mp4
009 How to use multiple conditions_en.vtt
010 Logical operators.mp4
010 Logical operators_en.vtt
011 Loops - for loop.mp4
011 Loops - for loop_en.vtt
012 Loops - while loop.mp4
012 Loops - while loop_en.vtt
013 What are nested loops.mp4
013 What are nested loops_en.vtt
014 Enumerate.mp4
014 Enumerate_en.vtt
015 Break and continue.mp4
015 Break and continue_en.vtt
016 Calculating Fibonacci-numbers.mp4
016 Calculating Fibonacci-numbers_en.vtt
17 - Appendix #2 - Functions
001 What are functions.mp4
001 What are functions_en.vtt
002 Defining functions.mp4
002 Defining functions_en.vtt
003 Positional arguments and keyword arguments.mp4
003 Positional arguments and keyword arguments_en.vtt
004 Returning values.mp4
004 Returning values_en.vtt
005 Returning multiple values.mp4
005 Returning multiple values_en.vtt
006 Yield operator.mp4
006 Yield operator_en.vtt
007 What are the most relevant built-in functions.mp4
007 What are the most relevant built-in functions_en.vtt
008 What is recursion.mp4
008 What is recursion_en.vtt
009 Local vs global variables.mp4
009 Local vs global variables_en.vtt
010 The __main__ function.mp4
010 The __main__ function_en.vtt
18 - Appendix #3 - Data Structures in Python
001 How to measure the running time of algorithms.mp4
001 How to measure the running time of algorithms_en.vtt
002 Data structures introduction.mp4
002 Data structures introduction_en.vtt
003 What are array data structures I.mp4
003 What are array data structures I_en.vtt
004 What are array data structures II.mp4
004 What are array data structures II_en.vtt
005 Lists in Python.mp4
005 Lists in Python_en.vtt
006 Lists in Python - advanced operations.mp4
006 Lists in Python - advanced operations_en.vtt
007 Lists in Python - list comprehension.mp4
007 Lists in Python - list comprehension_en.vtt
008 (!!!) Python lists and arrays.html
009 Measuring running time of lists.html
010 What are tuples.mp4
010 What are tuples_en.vtt
011 Mutability and immutability.mp4
011 Mutability and immutability_en.vtt
012 What are linked list data structures.mp4
012 What are linked list data structures_en.vtt
013 Doubly linked list implementation in Python.mp4
013 Doubly linked list implementation in Python_en.vtt
014 Hashing and O(1) running time complexity.mp4
014 Hashing and O(1) running time complexity_en.vtt
015 Dictionaries in Python.mp4
015 Dictionaries in Python_en.vtt
016 Sets in Python.mp4
016 Sets in Python_en.vtt
017 Sorting.mp4
017 Sorting_en.vtt
19 - Appendix #4 - Object Oriented Programming (OOP)
001 What is object oriented programming (OOP).mp4
001 What is object oriented programming (OOP)_en.vtt
002 Class and objects basics.mp4
002 Class and objects basics_en.vtt
003 Using the constructor.mp4
003 Using the constructor_en.vtt
004 Class variables and instance variables.mp4
004 Class variables and instance variables_en.vtt
005 Private variables and name mangling.mp4
005 Private variables and name mangling_en.vtt
006 What is inheritance in OOP.mp4
006 What is inheritance in OOP_en.vtt
007 The super keyword.mp4
007 The super keyword_en.vtt
008 Function (method) override.mp4
008 Function (method) override_en.vtt
009 What is polymorphism.mp4
009 What is polymorphism_en.vtt
010 Polymorphism and abstraction example.mp4
010 Polymorphism and abstraction example_en.vtt
011 Modules.mp4
011 Modules_en.vtt
012 The __str__ function.mp4
012 The __str__ function_en.vtt
013 Comparing objects - overriding functions.mp4
013 Comparing objects - overriding functions_en.vtt
20 - Appendix #5 - NumPy
001 What is the key advantage of NumPy.mp4
001 What is the key advantage of NumPy_en.vtt
002 Creating and updating arrays.mp4
002 Creating and updating arrays_en.vtt
003 Dimension of arrays.mp4
003 Dimension of arrays_en.vtt
004 Indexes and slicing.mp4
004 Indexes and slicing_en.vtt
005 Types.mp4
005 Types_en.vtt
006 Reshape.mp4
006 Reshape_en.vtt
007 Stacking and merging arrays.mp4
007 Stacking and merging arrays_en.vtt
008 Filter.mp4
008 Filter_en.vtt
009 Running time comparison arrays and lists.html
21 - Appendix #6 - Pandas
001 What is Pandas.mp4
001 What is Pandas_en.vtt
002 First steps.mp4
002 First steps_en.vtt
003 Series.mp4
003 Series_en.vtt
004 DataFrames.mp4
004 DataFrames_en.vtt
005 DataFrame operations.mp4
005 DataFrame operations_en.vtt
006 Speed comparison - DataFrame operations.mp4
006 Speed comparison - DataFrame operations_en.vtt
007 Reading CSV and text files.mp4
007 Reading CSV and text files_en.vtt
008 Operations.mp4
008 Operations_en.vtt
009 Data filtering.mp4
009 Data filtering_en.vtt
010 Using the apply() function.mp4
010 Using the apply() function_en.vtt
011 Speed comparison - loops and apply().mp4
011 Speed comparison - loops and apply()_en.vtt
012 What is vectorization.mp4
012 What is vectorization_en.vtt
013 Vectorization example I.mp4
013 Vectorization example I_en.vtt
014 Vectorization example II.mp4
014 Vectorization example II_en.vtt
22 - Course Materials (DOWNLOADS)
001 Course material.html
ADAM.py
BisectionMethod.py
EigenvectorExample.py
EulerMethodExample1.py
EulerMethodExample2.py
EulerMethodExample3.py
GaussElimination.py
GradientDescent.py
GradientDescentAdaGrad.py
GradientDescentMomentum.py
LagrangeInterpolation.py
MatrixMultiplication.py
MatrixVectorMultiplication.py
MonteCarloIntegral.py
MonteCarloIntegral2.py
NewtonRaphsonMethod.py
NumPyOperations.py
RectangleIntegral.py
RungeKuttaExample1.py
RungeKuttaExample2.py
StochasticGradientDescent.py
StochasticGradientDescentRegression.py
TrapezoidalIntegral.py
house_prices.csv
numerical_methods.pptx
Bonus Resources.txt
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