Applications of Second Order Homogeneous Differential Equation - Displacement - #Calculus by #Moein

Click here for full courses and ebooks:
#Calculus1 #Calculus2 #Calculus3 #Applicationsofdifferentialequations
The below list of topics have been covered:
Course 1: Fundamental of Mathematics
Sets
Set Operations
De Morgan's Laws
Venn Diagrams
Binary Operations
Numerical System
Coordinate System
Groups

Course 2: Complete Calculus 1
Function
Domain & Range
Inverse function
Vertical line test
Horizontal line test
Ordered pair test
Graphing of function
Transformation of function
Parabola
Inverse parabolic function
Circle
Center & Radius of a circle
Radian & Degree of a circle
Least squares method
Least square lines/Regression lines
Limit
Limit of Trigonometric functions
Limit of infinity
One-sided limit & Two-sided limit
Limit of multi variable function
Continuity & Discontinuity
Asymptote
Vertical Asymptote
Horizontal Asymptote
Hole
Point-slope form of the equation
Slope-intercept form of the equation
Standard form of the equation
Tangent and normal lines
Derivative Rule
Chain Rule
Power Rule
Product Rule
Quotient Rule
Derivative of Trigonometric functions
Inverse Trigonometric function
Hyperbolic function
Inverse hyperbolic functions
Composite function
Implicit Differentiation
Logarithmic & exponential Rules
Logarithmic & exponential differentiation
Squeeze Theorem
Modeling & solving equations
Number of ebooks: 59

Course 3: Advanced Calculus of Higher Mathematics
Parseval's Identity of Fourier Series
Harmonic Analysis of Fourier Series
Complex Fourier Series
Fourier Transform
Z-Transform
Power Series
Binomial Series

Course 4: Learn Calculus 2 & 3 from Scratch to Advanced level
Introduction to integration
Formulas of integration
Definite integral
Indefinite integral
U-substitution method
Integration by parts
Introduction to differentiation
Linear differential equations
Bernoulli's differential equations
Exact differential equations
Homogeneous differential equations
Non homogeneous equations
Mixima & Minima equations
Separable equations
Partial differential equations
Scalar
Vector
Unit normal vector
Gradient
Divergence
Directional derivative
Solenoidal
Curl
Irrotational
Line integral
Surface integral
Green's Theorem
Stoke's Theorem
Gauss-Divergence Theorem
Langrange's Mean Value Theorem
Newton Raphson Method
Newton's Difference Interpolation
Newton's Forward Difference Interpolation
Newton's Backward Difference Interpolation
Newton's Central Difference Interpolation
Runge-Kutta Method
Taylor Series
Maclaurin Series
Fourier Series
Laplace Transform
Inverse Laplace Transform
APPLICATIONS of Calculus in daily life
Ebooks

IT courses and ebooks:
#Python #Machinelearning #Datascience #Artificialintelligence #Deeplearning #NLP
The below is the list of topics that have been covered:
Course: "Learn Python from Scratch"
Introduction to Python
Arithmetic Operations
Boolean Conditions
Concatenation
Comparison Operators
Logical Operators
Indentation
Strings
List
2-D List
Tuples
Dictionaries
Nested dictionaries
Indexing
Functions
Def or defined functions
if statement
if-else statement
if-elif-else statement
Nested statement
for loops
while loops
Nested loops
Range Functions
Factorial
Exception Handling
Regular Expressions

Course: "Machine learning":
Introduction to Machine Learning
Supervised, Unsupervised and Reinforcement learning
Types of machine learning
Principal Component Analysis (PCA)
Confusion matrix
Under-fitting & Over-fitting
Classification
Linear Regression
Non-linear Regression
Support Vector Machine Classifier
Linear SVM machine model
Non-linear SVM machine model
Kernel technique
Project of SVM in Python
K-Nearest Neighbors (KNN) Classifier
k-value in KNN machine model
Euclidean distance
Manhattan distance
Outliers of KNN machine model
Project of KNN machine model in Python
Naive Bayes Classifier
Byes rule
Project of Naive Bayes machine model in Python
Logistic Regression Classifier
Non-linear logistic regression
Project of Logistic Regression machine model in Python
Decision Tree Classifier
Project of Decision Tree machine model in Python