Data Science Videos

Data Science For Engineers

Advanced Programming in R - Functions %28Continued%29
Advanced programming in R - Functions
Arithmetic%2CLogical and Matrix operations in R
Classification
Control structures
Cross Validation
Data Science for engineers - Summary
Data frames
Data science for engineers Course philosophy and expectation
Data visualization in R Basic graphics
Diagnostics to Improve Linear Model Fit
Gradient %28 Steepest %29 Descent %28 OR %29 Learning Rule
Hypotheses Testing
Introduction to Data Science
Introduction to R %28Continued%29
Introduction to R
K - Nearest Neighbors %28kNN%29
K - Nearest Neighbors implementation in R
K - means Clustering
K - means implementation in R
Linear Algebra - Distance%2CHyperplanes and Halfspaces%2CEigenvalues%2CEigenvectors %28 Continued 1%29
Linear Algebra - Distance%2CHyperplanes and Halfspaces%2CEigenvalues%2CEigenvectors %28 Continued 3 %29
Linear Algebra - Distance%2CHyperplanes and Halfspaces%2CEigenvalues%2CEigenvectors %28 Continued 2 %29
Linear Algebra - Distance%2CHyperplanes and Halfspaces%2CEigenvalues%2CEigenvectors
Linear Algebra for Data science
Linear Regression
Logisitic Regression %28 Continued %29
Logisitic Regression Implementation in R
Logisitic Regression
Model Assessment
Module - Predictive Modelling
Muliple Linear Regression
Multiple Linear Regression Modelling Building and Selection
Multivariate Optimization With Equality Constraints
Multivariate Optimization With Inequality Constraints
Optimization for Data Science
Performance Measures
Random Variables and Probability Mass -Density Functions
Recasting and joining of dataframes
Sample Statistics
Simple Linear Regression Model Assessment %28 Continued %29
Simple Linear Regression Model Assessment
Simple Linear Regression Model Building
Solving Data Analysis Problems - A Guided Thought Process
Solving Linear Equations %28 Continued %29
Solving Linear Equations
Statistical Modelling
Unconstrained Multivariate Optimization %28 Continued %29
Unconstrained Multivariate Optimization
Variables and datatypes in R