Artificial Intelligence with Machine Learning, Deep Learning

سرفصل های دوره

Artificial Intelligence (AI) with Python Machine Learning and Python Deep Learning, Transfer Learning, Tensorflow

1 - Numpy

1 - Installing Anaconda Distribution for Windows

2 - Notebook Project Files Link regarding NumPy Python Programming Language Library.html

3 - Installing Anaconda Distribution for MacOs

4 - 6 Article Advice And Links about Numpy Numpy Pyhon.html

5 - Installing Anaconda Distribution for Linux

6 - Introduction to NumPy Library

7 - The Power of NumPy

8 - Creating NumPy Array with The Array Function

9 - Creating NumPy Array with Zeros Function

10 - Creating NumPy Array with Ones Function

11 - Creating NumPy Array with Full Function

12 - Creating NumPy Array with Arange Function

13 - Creating NumPy Array with Eye Function

14 - Creating NumPy Array with Linspace Function

15 - Creating NumPy Array with Random Function

16 - Properties of NumPy Array

17 - Identifying the Largest Element of a Numpy Array

18 - Detecting Least Element of Numpy Array Min Ar

19 - Reshaping a NumPy Array Reshape Function

20 - Concatenating Numpy Arrays Concatenate Functio

21 - Splitting OneDimensional Numpy Arrays The Split

22 - Splitting TwoDimensional Numpy Arrays Split

23 - Sorting Numpy Arrays Sort Function

24 - Indexing Numpy Arrays

25 - Slicing OneDimensional Numpy Arrays

26 - Slicing TwoDimensional Numpy Arrays

27 - Assigning Value to OneDimensional Arrays

28 - Assigning Value to TwoDimensional Array

29 - Fancy Indexing of OneDimensional Arrrays

30 - Fancy Indexing of TwoDimensional Arrrays

31 - Combining Fancy Index with Normal Indexing

32 - Combining Fancy Index with Normal Slicing

33 - Operations with Comparison Operators

34 - Arithmetic Operations in Numpy

35 - Statistical Operations in Numpy

36 - Solving SecondDegree Equations with NumPy

2 - Pandas

37 - Pandas Project Files Link.html

38 - Introduction to Pandas Library

39 - Creating a Pandas Series with a List

40 - Creating a Pandas Series with a Dictionary

41 - Creating Pandas Series with NumPy Array

42 - Object Types in Series

43 - Examining the Primary Features of the Pandas Seri

44 - Most Applied Methods on Pandas Series

45 - Indexing and Slicing Pandas Series

46 - Creating Pandas DataFrame with List

47 - Creating Pandas DataFrame with NumPy Array

48 - Creating Pandas DataFrame with Dictionary

49 - Examining the Properties of Pandas DataFrames

50 - Element Selection Operations in Pandas DataFrames Lesson 1

51 - Element Selection Operations in Pandas DataFrames Lesson 2

52 - Top Level Element Selection in Pandas DataFramesLesson 1

53 - Top Level Element Selection in Pandas DataFramesLesson 2

54 - Top Level Element Selection in Pandas DataFramesLesson 3

55 - Element Selection with Conditional Operations in Pandas Data Frames

56 - Adding Columns to Pandas Data Frames

57 - Removing Rows and Columns from Pandas Data frames

58 - Null Values in Pandas Dataframes

59 - Dropping Null Values Dropna Function

60 - Filling Null Values Fillna Function

61 - Setting Index in Pandas DataFrames

62 - MultiIndex and Index Hierarchy in Pandas DataFrames

63 - Element Selection in MultiIndexed DataFrames

64 - Selecting Elements Using the xs Function in MultiIndexed DataFrames

65 - Concatenating Pandas Dataframes Concat Function

66 - Merge Pandas Dataframes Merge Function Lesson 1

67 - Merge Pandas Dataframes Merge Function Lesson 2

68 - Merge Pandas Dataframes Merge Function Lesson 3

69 - Merge Pandas Dataframes Merge Function Lesson 4

70 - Joining Pandas Dataframes Join Function

71 - Loading a Dataset from the Seaborn Library

72 - Examining the Data Set 1

73 - Aggregation Functions in Pandas DataFrames

74 - Examining the Data Set 2

75 - Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes

76 - Advanced Aggregation Functions Aggregate Function

77 - Advanced Aggregation Functions Filter Function

78 - Advanced Aggregation Functions Transform Function

79 - Advanced Aggregation Functions Apply Function

80 - Examining the Data Set 3

81 - Pivot Tables in Pandas Library

82 - Accessing and Making Files Available

83 - Data Entry with Csv and Txt Files

84 - Data Entry with Excel Files

85 - Outputting as an CSV Extension

86 - Outputting as an Excel File

3 - First Contact with Machine Learning

87 - What is Machine Learning

88 - Machine Learning Terminology

89 - Project Files Link.html

4 - Evalution Metrics in Machine Learning

90 - Classification vs Regression in Machine Learning

91 - Machine Learning Model Performance Evaluation Classification Error Metrics

92 - Evaluating Performance Regression Error Metrics in Python

93 - Machine Learning With Python

5 - Supervised Learning with Machine Learning

94 - What is Supervised Learning in Machine Learning

6 - Linear Regression Algorithm in Machine Learning AZ

95 - Linear Regression Algorithm Theory in Machine Learning AZ

96 - Linear Regression Algorithm With Python Part 1

97 - Linear Regression Algorithm With Python Part 2

98 - Linear Regression Algorithm With Python Part 3

99 - Linear Regression Algorithm With Python Part 4

7 - Bias Variance TradeOff in Machine Learning

100 - What is Bias Variance TradeOff

8 - Logistic Regression Algorithm in Machine Learning AZ

101 - What is Logistic Regression Algorithm in Machine Learning

102 - Logistic Regression Algorithm with Python Part 1

103 - Logistic Regression Algorithm with Python Part 2

104 - Logistic Regression Algorithm with Python Part 3

105 - Logistic Regression Algorithm with Python Part 4

106 - Logistic Regression Algorithm with Python Part 5

9 - Kfold CrossValidation in Machine Learning AZ

107 - KFold CrossValidation Theory

108 - KFold CrossValidation with Python

10 - K Nearest Neighbors Algorithm in Machine Learning AZ

109 - K Nearest Neighbors Algorithm Theory

110 - K Nearest Neighbors Algorithm with Python Part 1

111 - K Nearest Neighbors Algorithm with Python Part 2

112 - K Nearest Neighbors Algorithm with Python Part 3

11 - Hyperparameter Optimization

113 - Hyperparameter Optimization Theory

114 - Hyperparameter Optimization with Python

12 - Decision Tree Algorithm in Machine Learning AZ

115 - Decision Tree Algorithm Theory

116 - Decision Tree Algorithm with Python Part 1

117 - Decision Tree Algorithm with Python Part 2

118 - Decision Tree Algorithm with Python Part 3

119 - Decision Tree Algorithm with Python Part 4

120 - Decision Tree Algorithm with Python Part 5

13 - Random Forest Algorithm in Machine Learning AZ

121 - Random Forest Algorithm Theory

122 - Random Forest Algorithm with Pyhon Part 1

123 - Random Forest Algorithm with Pyhon Part 2

14 - Support Vector Machine Algorithm in Machine Learning AZ

124 - Support Vector Machine Algorithm Theory

125 - Support Vector Machine Algorithm with Python Part 1

126 - Support Vector Machine Algorithm with Python Part 2

127 - Support Vector Machine Algorithm with Python Part 3

128 - Support Vector Machine Algorithm with Python Part 4

15 - Unsupervised Learning

129 - Unsupervised Learning Overview

16 - K Means Clustering Algorithm in Machine Learning AZ

130 - K Means Clustering Algorithm Theory

131 - K Means Clustering Algorithm with Python Part 1

132 - K Means Clustering Algorithm with Python Part 2

133 - K Means Clustering Algorithm with Python Part 3

134 - K Means Clustering Algorithm with Python Part 4

17 - Hierarchical Clustering Algorithm in Machine Learning AZ

135 - Hierarchical Clustering Algorithm Theory

136 - Hierarchical Clustering Algorithm with Python Part 1

137 - Hierarchical Clustering Algorithm with Python Part 2

18 - Principal Component Analysis PCA in Machine Learning AZ

138 - Principal Component Analysis PCA Theory

139 - Principal Component Analysis PCA with Python Part 1

140 - Principal Component Analysis PCA with Python Part 2

141 - Principal Component Analysis PCA with Python Part 3

19 - Recommender System Algorithm in Machine Learning AZ

142 - What is the Recommender System Part 1

143 - What is the Recommender System Part 2

20 - Machine Learning Recap And First Contact with Deep Learning

144 - AI Machine Learning and Deep Learning

145 - History of Machine Learning

146 - Turing Machine and Turing Test

147 - What is Deep Learning

148 - Learning Representations From Data

149 - Workflow of Machine Learning

150 - Machine Learning Methods

151 - Supervised Machine Learning Methods 1

152 - Supervised Machine Learning Methods 2

153 - Supervised Machine Learning Methods 3

154 - Supervised Machine Learning Methods 4

155 - Gathering data

156 - Data preprocessing

157 - Choosing the right algorithm and model

158 - Training and testing the model

159 - Evaluation

21 - Artificial Neural Network

160 - What Is ANN

161 - Anatomy of Neural Network

162 - Optimizers in Ai

163 - What is TensorFlow

22 - Convolutional Neural Network

164 - What is CNN

23 - Recurrent Neural Network and LTSM

165 - Understanding RNN and LSTM Networks

24 - Transfer Learning

166 - What is Transfer Learning

167 - What Is Data Science

168 - Data literacy in Data Science

169 - What is Numpy

170 - Why Numpy

25 - Extra

171 - Artificial Intelligence with Machine Learning Deep Learning.html

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تولید کننده: Udemy