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Python Mastery for Data, Statistics & Statistical Modeling

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Python Mastery for Data Science & Statistical Modeling: Basics to Advanced Applications in Data Analysis, Visualization


1 - Python for Data Science and Data Analysis
  • 1 - Link to the Python codes for the projects and the data.html
  • 2 - Introduction About the Tutor and AI Sciences
  • 3 - Introduction Introduction To Instructor
  • 4 - Introduction Focus of the CoursePart 1
  • 5 - Introduction Focus of the Course Part 2
  • 6 - Basics of Programming Understanding the Algorithm
  • 7 - Basics of Programming FlowCharts and Pseudocodes
  • 8 - Basics of Programming Example of Algorithms Making Tea Problem
  • 9 - Basics of Programming Example of AlgorithmsSearching Minimun
  • 10 - Basics of Programming Example of AlgorithmsSearching Minimun Quiz
  • 11 - Basics of Programming Example of AlgorithmsSorting Problem
  • 12 - Basics of Programming Example of AlgorithmsSearching Minimun Solution
  • 13 - Basics of Programming Sorting Problem in Python
  • 14 - Why Python and Jupyter Notebook Why Python
  • 15 - Why Python and Jupyter Notebook Why Jupyter Notebooks
  • 16 - Installation of Anaconda and IPython Shell Installing Python and Jupyter Anaconda
  • 17 - Installation of Anaconda and IPython Shell Your First Python Code Hello World
  • 18 - Installation of Anaconda and IPython Shell Coding in IPython Shell
  • 19 - Variable and Operator Variables
  • 20 - Variable and Operator Operators
  • 21 - Variable and Operator Variable Name Quiz
  • 22 - Variable and Operator Bool Data Type in Python
  • 23 - Variable and Operator Comparison in Python
  • 24 - Variable and Operator Combining Comparisons in Python
  • 25 - Variable and Operator Combining Comparisons Quiz
  • 26 - Python Useful function Python Function Round
  • 27 - Python Useful function Python Function Round Quiz
  • 28 - Python Useful function Python Function Round Solution
  • 29 - Python Useful function Python Function Divmod
  • 30 - Python Useful function Python Function Is instance and PowFunctions
  • 31 - Python Useful function Python Function Input
  • 32 - Control Flow in Python If Python Condition
  • 33 - Control Flow in Python if Elif Else Python Conditions
  • 34 - Control Flow in Python if Elif Else Python Conditions Quiz
  • 35 - Control Flow in Python if Elif Else Python Conditions Solution
  • 36 - Control Flow in Python More on if Elif Else Python Conditions
  • 37 - Control Flow in Python More on if Elif Else Python Conditions Quiz
  • 38 - Control Flow in Python More on if Elif Else Python Conditions Solution
  • 39 - Control Flow in Python Indentations
  • 40 - Control Flow in Python Indentations Quiz
  • 41 - Control Flow in Python Indentations Solution
  • 42 - Control Flow in Python Comments and Problem Solving Practice With If
  • 43 - Control Flow in Python While Loop
  • 44 - Control Flow in Python While Loop break Continue
  • 45 - Control Flow in Python While Loop break Continue Quiz
  • 46 - Control Flow in Python While Loop break Continue Solution
  • 47 - Control Flow in Python For Loop
  • 48 - Control Flow in Python For Loop Quiz
  • 49 - Control Flow in Python For Loop Solution
  • 50 - Control Flow in Python Else In For Loop
  • 51 - Control Flow in Python Loops PracticeSorting Problem
  • 52 - Function and Module in Python Functions in Python
  • 53 - Function and Module in Python DocString
  • 54 - Function and Module in Python Input Arguments
  • 55 - Function and Module in Python Multiple Input Arguments
  • 56 - Function and Module in Python Multiple Input Arguments Quiz
  • 57 - Function and Module in Python Multiple Input Arguments Solution
  • 58 - Function and Module in Python Ordering Multiple Input Arguments
  • 59 - Function and Module in Python Output Arguments and Return Statement
  • 60 - Function and Module in Python Function PracticeOutput Arguments and Return Statement
  • 61 - Function and Module in Python Variable Number of Input Arguments
  • 62 - Function and Module in Python Variable Number of Input Arguments Quiz
  • 63 - Function and Module in Python Variable Number of Input Arguments Solution
  • 64 - Function and Module in Python Variable Number of Input Arguments as Dictionary
  • 65 - Function and Module in Python Variable Number of Input Arguments as Dictionary Quiz
  • 66 - Function and Module in Python Variable Number of Input Arguments as Dictionary Solution
  • 67 - Function and Module in Python Default Values in Python
  • 68 - Function and Module in Python Modules in Python
  • 69 - Function and Module in Python Making Modules in Python
  • 70 - Function and Module in Python Function PracticeSorting List in Python
  • 71 - String in Python Strings
  • 72 - String in Python Multi Line Strings
  • 73 - String in Python Indexing Strings
  • 74 - String in Python Indexing Strings Quiz
  • 75 - String in Python Indexing Strings Solution
  • 76 - String in Python String Methods
  • 77 - String in Python String Methods Quiz
  • 78 - String in Python String Methods Solution
  • 79 - String in Python String Escape Sequences
  • 80 - String in Python String Escape Sequences Quiz
  • 81 - String in Python String Escape Sequences Solution
  • 82 - Data Structure Introduction to Data Structure
  • 83 - Data Structure Defining and Indexing
  • 84 - Data Structure Insertion and Deletion
  • 85 - Data Structure Insertion and Deletion Quiz
  • 86 - Data Structure Insertion and Deletion Solution
  • 87 - Data Structure Python PracticeInsertion and Deletion
  • 88 - Data Structure Python PracticeInsertion and Deletion Quiz
  • 89 - Data Structure Python PracticeInsertion and Deletion Solution
  • 90 - Data Structure Deep Copy or Reference Slicing
  • 91 - Data Structure Deep Copy or Reference Slicing Quiz
  • 92 - Data Structure Deep Copy or Reference Slicing Solution
  • 93 - Data Structure Exploring Methods Using TAB Completion
  • 94 - Data Structure Data Structure Abstract Ways
  • 95 - Data Structure Data Structure Practice
  • 96 - Data Structure Data Structure Practice Quiz
  • 97 - Data Structure Data Structure Practice Solution

  • 2 - Mastering Probability Statistic Python Theory Projects
  • 98 - Link to the Python codes for the projects and the data.html
  • 99 - Introduction Introduction to Instructor and AISciences
  • 100 - Introduction Introduction To Instructor
  • 101 - Introduction Focus of the Course
  • 102 - Probability vs Statistics Probability vs Statistics
  • 103 - Sets Definition of Set
  • 104 - Sets Cardinality of a Set
  • 105 - Sets Subsets PowerSet UniversalSet
  • 106 - Sets Python Practice Subsets
  • 107 - Sets PowerSets Solution
  • 108 - Sets Operations
  • 109 - Sets Operations Exercise 01
  • 110 - Sets Operations Solution 01
  • 111 - Sets Operations Exercise 02
  • 112 - Sets Operations Solution 02
  • 113 - Sets Operations Exercise 03
  • 114 - Sets Operations Solution 03
  • 115 - Sets Python Practice Operations
  • 116 - Sets VennDiagrams Operations
  • 117 - Sets Homework
  • 118 - Experiment Random Experiment
  • 119 - Experiment Outcome and Sample Space
  • 120 - Experiment Outcome and Sample Space Exercise 01
  • 121 - Experiment Outcome and Sample Space Solution 01
  • 122 - Experiment Event
  • 123 - Experiment Event Exercise 01
  • 124 - Experiment Event Solution 01
  • 125 - Experiment Event Exercise 02
  • 126 - Experiment Event Solution 02
  • 127 - Experiment Recap and Homework
  • 128 - Probability Model Probability Model
  • 129 - Probability Model Probability Axioms
  • 130 - Probability Model Probability Axioms Derivations
  • 131 - Probability Model Probability Axioms Derivations Exercise 01
  • 132 - Probability Model Probability Axioms Derivations Solution 01
  • 133 - Probability Model Probablility Models Example
  • 134 - Probability Model Probablility Models More Examples
  • 135 - Probability Model Probablility Models Continous
  • 136 - Probability Model Conditional Probability
  • 137 - Probability Model Conditional Probability Example
  • 138 - Probability Model Conditional Probability Formula
  • 139 - Probability Model Conditional Probability in Machine Learning
  • 140 - Probability Model Conditional Probability Total Probability Theorem
  • 141 - Probability Model Probablility Models Independence
  • 142 - Probability Model Probablility Models Conditional Independence
  • 143 - Probability Model Probablility Models Conditional Independence Exercise 01
  • 144 - Probability Model Probablility Models Conditional Independence Solution 01
  • 145 - Probability Model Probablility Models BayesRule
  • 146 - Probability Model Probablility Models towards Random Variables
  • 147 - Probability Model HomeWork
  • 148 - Random Variables Introduction
  • 149 - Random Variables Random Variables Examples
  • 150 - Random Variables Random Variables Examples Exercise 01
  • 151 - Random Variables Random Variables Examples Solution 01
  • 152 - Random Variables Bernulli Random Variables
  • 153 - Random Variables Bernulli Trail Python Practice
  • 154 - Random Variables Bernulli Trail Python Practice Exercise 01
  • 155 - Random Variables Bernulli Trail Python Practice Solution 01
  • 156 - Random Variables Geometric Random Variable
  • 157 - Random Variables Geometric Random Variable Normalization Proof Optional
  • 158 - Random Variables Geometric Random Variable Python Practice
  • 159 - Random Variables Binomial Random Variables
  • 160 - Random Variables Binomial Python Practice
  • 161 - Random Variables Random Variables in Real DataSets
  • 162 - Random Variables Random Variables in Real DataSets Exercise 01
  • 163 - Random Variables Random Variables in Real DataSets Solution 01
  • 164 - Random Variables Homework
  • 165 - Continous Random Variables Zero Probability to Individual Values
  • 166 - Continous Random Variables Zero Probability to Individual Values Exercise 01
  • 167 - Continous Random Variables Zero Probability to Individual Values Solution 01
  • 168 - Continous Random Variables Probability Density Functions
  • 169 - Continous Random Variables Probability Density Functions Exercise 01
  • 170 - Continous Random Variables Probability Density Functions Solution 01
  • 171 - Continous Random Variables Uniform Distribution
  • 172 - Continous Random Variables Uniform Distribution Exercise 01
  • 173 - Continous Random Variables Uniform Distribution Solution 01
  • 174 - Continous Random Variables Uniform Distribution Python
  • 175 - Continous Random Variables Exponential
  • 176 - Continous Random Variables Exponential Exercise 01
  • 177 - Continous Random Variables Exponential Solution 01
  • 178 - Continous Random Variables Exponential Python
  • 179 - Continous Random Variables Gaussian Random Variables
  • 180 - Continous Random Variables Gaussian Random Variables Exercise 01
  • 181 - Continous Random Variables Gaussian Random Variables Solution 01
  • 182 - Continous Random Variables Gaussian Python
  • 183 - Continous Random Variables Transformation of Random Variables
  • 184 - Continous Random Variables Homework
  • 185 - Expectations Definition
  • 186 - Expectations Sample Mean
  • 187 - Expectations Law of Large Numbers
  • 188 - Expectations Law of Large Numbers Famous Distributions
  • 189 - Expectations Law of Large Numbers Famous Distributions Python
  • 190 - Expectations Variance
  • 191 - Expectations Homework
  • 192 - Project Bayes Classifier Project Bayes Classifier From Scratch
  • 193 - Multiple Random Variables Joint Distributions
  • 194 - Multiple Random Variables Joint Distributions Exercise 01
  • 195 - Multiple Random Variables Joint Distributions Solution 01
  • 196 - Multiple Random Variables Joint Distributions Exercise 02
  • 197 - Multiple Random Variables Joint Distributions Solution 02
  • 198 - Multiple Random Variables Joint Distributions Exercise 03
  • 199 - Multiple Random Variables Joint Distributions Solution 03
  • 200 - Multiple Random Variables Multivariate Gaussian
  • 201 - Multiple Random Variables Conditioning Independence
  • 202 - Multiple Random Variables Classification
  • 203 - Multiple Random Variables Naive Bayes Classification
  • 204 - Multiple Random Variables Regression
  • 205 - Multiple Random Variables Curse of Dimensionality
  • 206 - Multiple Random Variables Homework
  • 207 - Optional Estimation Parametric Distributions
  • 208 - Optional Estimation MLE
  • 209 - Optional Estimation LogLiklihood
  • 210 - Optional Estimation MAP
  • 211 - Optional Estimation Logistic Regression
  • 212 - Optional Estimation Ridge Regression
  • 213 - Optional Estimation DNN
  • 214 - Mathematical Derivations for Math Lovers Permutations
  • 215 - Mathematical Derivations for Math Lovers Combinations
  • 216 - Mathematical Derivations for Math Lovers Binomial Random Variable
  • 217 - Mathematical Derivations for Math Lovers Logistic Regression Formulation
  • 218 - Mathematical Derivations for Math Lovers Logistic Regression Derivation
  • 219 - THANK YOU

  • 3 - Statistics Statistical Modeling Made Easy for ALL
  • 220 - Link to the Python codes for the projects and the data.html
  • 221 - Introduction Course Introduction
  • 222 - Introduction AI Sciences
  • 223 - Introduction Course Outline
  • 224 - Summary Statistics Module Intoduction
  • 225 - Summary Statistics Overview
  • 226 - Summary Statistics Summary Statistics
  • 227 - Summary Statistics Average Types
  • 228 - Summary Statistics Mean
  • 229 - Summary Statistics Median
  • 230 - Summary Statistics Median Example
  • 231 - Summary Statistics Mode
  • 232 - Summary Statistics Case Study For Average
  • 233 - Summary Statistics IQR
  • 234 - Summary Statistics Variance
  • 235 - Summary Statistics Standard Deviation
  • 236 - Summary Statistics Averages in Python
  • 237 - Summary Statistics Std Deviation and Variance in Python
  • 238 - Summary Statistics IQR in Python
  • 239 - Hypothesis Testing Module Introduction
  • 240 - Hypothesis Testing Hypothesis Testing Overview
  • 241 - Hypothesis Testing Terminologies in Hypothesis Testing
  • 242 - Hypothesis Testing Null Hypothesis
  • 243 - Hypothesis Testing Alternate Hypothesis
  • 244 - Hypothesis Testing Test Statistics
  • 245 - Hypothesis Testing PValue
  • 246 - Hypothesis Testing Critical Value
  • 247 - Hypothesis Testing Level of Significance
  • 248 - Hypothesis Testing Case Study 1
  • 249 - Hypothesis Testing Case Study 2
  • 250 - Hypothesis Testing Calculations for Python
  • 251 - Hypothesis Testing Steps of Hypothesis Testing
  • 252 - Hypothesis Testing Code Outcomes
  • 253 - Hypothesis Testing Calculation of Z in Python
  • 254 - Hypothesis Testing Norm Function
  • 255 - Hypothesis Testing P Value Python
  • 256 - Correlation and Regression Module Introduction
  • 257 - Correlation and Regression Covariance and Correlation
  • 258 - Correlation and Regression Correlation
  • 259 - Correlation and Regression Regression
  • 260 - Correlation and Regression Correlation and Covariance in Python
  • 261 - Correlation and Regression Entering Input
  • 262 - Correlation and Regression Linear Regression Results
  • 263 - Multiple Regression Module Overview
  • 264 - Multiple Regression Motivation for Multiple Regression
  • 265 - Multiple Regression Formula for MR
  • 266 - Multiple Regression Preparing the Data
  • 267 - Multiple Regression Multiple Regression in Python
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    تاریخ انتشار: 28 آذر 1402
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