Other
Machine Learning & Data Science with Python, Kaggle & Pandas
Torrent info
Torrent Files List
[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas (Size: 9.11 GB) (Files: 463)
[TutsNode.net] - Machine Learning & Data Science with Python, Kaggle & Pandas
35. Competition Section on Kaggle
2. Competitions on Kaggle Lesson 2.mp4
3. Quiz.html
1. Competitions on Kaggle Lesson 1.mp4
41. Introduction to Machine Learning with Real Hearth Attack Prediction Project
2. FAQ about Machine Learning, Data Science.html
7. Quiz.html
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html
6. Recognizing Variables In Dataset.mp4
1. First Step to the Project.mp4
3. Notebook Design to be Used in the Project.mp4
5. Examining the Project Topic.mp4
1. Installations
2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html
4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html
1. Installing Anaconda Distribution for Windows.mp4
5. Installing Anaconda Distribution for Linux.mp4
3. Installing Anaconda Distribution for MacOs.mp4
34. First Contact with Kaggle
2. FAQ about Kaggle.html
6. Quiz.html
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html
1. What is Kaggle.mp4
5. Getting to Know the Kaggle Homepage.mp4
3. Registering on Kaggle and Member Login Procedures.mp4
17. First Contact with Machine Learning
5. FAQ regarding Machine Learning.html
4. FAQ regarding Python.html
3. Machine Learning Project Files.html
1. What is Machine Learning.mp4
2. Machine Learning Terminology.mp4
2. NumPy Library Introduction
3. Quiz.html
2. The Power of NumPy.mp4
1. Introduction to NumPy Library.mp4
49. Extra
1. Machine Learning & Data Science with Kaggle, Pandas , Numpy.html
3. Creating NumPy Array in Python
10. Quiz.html
8. Creating NumPy Array with Random() Function.mp4
1. Creating NumPy Array with The Array() Function.mp4
2. Creating NumPy Array with Zeros() Function.mp4
9. Properties of NumPy Array.mp4
3. Creating NumPy Array with Ones() Function.mp4
6. Creating NumPy Array with Eye() Function.mp4
5. Creating NumPy Array with Arange() Function.mp4
4. Creating NumPy Array with Full() Function.mp4
7. Creating NumPy Array with Linspace() Function.mp4
4. Functions in the NumPy Library
8. Quiz.html
4. Concatenating Numpy Arrays Concatenate() Function.mp4
6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4
1. Reshaping a NumPy Array Reshape() Function.mp4
5. Splitting One-Dimensional Numpy Arrays The Split.mp4
7. Sorting Numpy Arrays Sort() Function.mp4
2. Identifying the Largest Element of a Numpy Array.mp4
3. Detecting Least Element of Numpy Array Min(), Ar.mp4
7. Pandas Library Introduction
3. Quiz.html
2. Pandas Project Files Link.html
1. Introduction to Pandas Library.mp4
8. Series Structures in the Pandas Library
8. Quiz.html
6. Most Applied Methods on Pandas Series.mp4
1. Creating a Pandas Series with a List.mp4
7. Indexing and Slicing Pandas Series.mp4
4. Object Types in Series.mp4
5. Examining the Primary Features of the Pandas Seri.mp4
2. Creating a Pandas Series with a Dictionary.mp4
3. Creating Pandas Series with NumPy Array.mp4
9. DataFrame Structures in Pandas Library
5. Quiz.html
4. Examining the Properties of Pandas DataFrames.mp4
1. Creating Pandas DataFrame with List.mp4
3. Creating Pandas DataFrame with Dictionary.mp4
2. Creating Pandas DataFrame with NumPy Array.mp4
10. Element Selection Operations in DataFrame Structures
7. Quiz.html
6. Element Selection with Conditional Operations in.mp4
3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4
2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4
1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4
5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4
11. Structural Operations on Pandas DataFrame
7. Quiz.html
3. Null Values in Pandas Dataframes.mp4
5. Filling Null Values Fillna() Function.mp4
6. Setting Index in Pandas DataFrames.mp4
4. Dropping Null Values Dropna() Function.mp4
1. Adding Columns to Pandas Data Frames.mp4
2. Removing Rows and Columns from Pandas Data frames.mp4
12. Multi-Indexed DataFrame Structures
4. Quiz.html
1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4
3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4
2. Element Selection in Multi-Indexed DataFrames.mp4
13. Structural Concatenation Operations in Pandas DataFrame
7. Quiz.html
1. Concatenating Pandas Dataframes Concat Function.mp4
4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4
2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4
6. Joining Pandas Dataframes Join() Function.mp4
5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4
3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4
14. Functions That Can Be Applied on a DataFrame
10. Quiz.html
3. Aggregation Functions in Pandas DataFrames.mp4
5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4
8. Advanced Aggregation Functions Transform() Function.mp4
4. Examining the Data Set 2.mp4
2. Examining the Data Set 1.mp4
9. Advanced Aggregation Functions Apply() Function.mp4
1. Loading a Dataset from the Seaborn Library.mp4
6. Advanced Aggregation Functions Aggregate() Function.mp4
7. Advanced Aggregation Functions Filter() Function.mp4
15. Pivot Tables in Pandas Library
3. Quiz.html
2. Pivot Tables in Pandas Library.mp4
1. Examining the Data Set 3.mp4
16. File Operations in Pandas Library
6. Quiz.html
2. Data Entry with Csv and Txt Files.mp4
4. Outputting as an CSV Extension.mp4
1. Accessing and Making Files Available.mp4
3. Data Entry with Excel Files.mp4
5. Outputting as an Excel File.mp4
18. Evaluation Metrics in Machine Learning
5. Quiz.html
2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4
4. Machine Learning With Python.mp4
3. Evaluating Performance Regression Error Metrics in Python.mp4
1. Classification vs Regression in Machine Learning.mp4
19. Supervised Learning with Machine Learning
2. Quiz.html
1. What is Supervised Learning in Machine Learning.mp4
21. Bias Variance Trade-Off in Machine Learning
2. Quiz.html
1. What is Bias Variance Trade-Off.mp4
22. Logistic Regression Algorithm in Machine Learning A-Z
7. Quiz.html
3. Logistic Regression Algorithm with Python Part 2.mp4
2. Logistic Regression Algorithm with Python Part 1.mp4
5. Logistic Regression Algorithm with Python Part 4.mp4
6. Logistic Regression Algorithm with Python Part 5.mp4
4. Logistic Regression Algorithm with Python Part 3.mp4
1. What is Logistic Regression Algorithm in Machine Learning.mp4
24. K Nearest Neighbors Algorithm in Machine Learning A-Z
5. Quiz.html
3. K Nearest Neighbors Algorithm with Python Part 2.mp4
2. K Nearest Neighbors Algorithm with Python Part 1.mp4
4. K Nearest Neighbors Algorithm with Python Part 3.mp4
1. K Nearest Neighbors Algorithm Theory.mp4
26. Decision Tree Algorithm in Machine Learning A-Z
7. Quiz.html
3. Decision Tree Algorithm with Python Part 2.mp4
5. Decision Tree Algorithm with Python Part 4.mp4
1. Decision Tree Algorithm Theory.mp4
6. Decision Tree Algorithm with Python Part 5.mp4
2. Decision Tree Algorithm with Python Part 1.mp4
4. Decision Tree Algorithm with Python Part 3.mp4
28. Support Vector Machine Algorithm in Machine Learning A-Z
6. Quiz.html
4. Support Vector Machine Algorithm with Python Part 3.mp4
3. Support Vector Machine Algorithm with Python Part 2.mp4
5. Support Vector Machine Algorithm with Python Part 4.mp4
2. Support Vector Machine Algorithm with Python Part 1.mp4
1. Support Vector Machine Algorithm Theory.mp4
29. Unsupervised Learning with Machine Learning
2. Quiz.html
1. Unsupervised Learning Overview.mp4
30. K Means Clustering Algorithm in Machine Learning A-Z
6. Quiz.html
2. K Means Clustering Algorithm with Python Part 1.mp4
3. K Means Clustering Algorithm with Python Part 2.mp4
5. K Means Clustering Algorithm with Python Part 4.mp4
4. K Means Clustering Algorithm with Python Part 3.mp4
1. K Means Clustering Algorithm Theory.mp4
31. Hierarchical Clustering Algorithm in machine learning data science
4. Quiz.html
2. Hierarchical Clustering Algorithm with Python Part 1.mp4
3. Hierarchical Clustering Algorithm with Python Part 2.mp4
1. Hierarchical Clustering Algorithm Theory.mp4
33. Recommender System Algorithm in Machine Learning A-Z
3. Quiz.html
1. What is the Recommender System Part 1.mp4
2. What is the Recommender System Part 2.mp4
36. Dataset Section on Kaggle
2. Quiz.html
1. Datasets on Kaggle.mp4
37. Code Section on Kaggle
4. Quiz.html
3. Examining the Code Section in Kaggle Lesson 3.mp4
2. Examining the Code Section in Kaggle Lesson 2.mp4
1. Examining the Code Section in Kaggle Lesson 1.mp4
38. Discussion Section on Kaggle
2. Quiz.html
1. What is Discussion on Kaggle.mp4
39. Other Most Used Options on Kaggle
4. Quiz.html
2. Ranking Among Users on Kaggle.mp4
1. Courses in Kaggle.mp4
3. Blog and Documentation Sections.mp4
40. Details on Kaggle
5. Quiz.html
1. User Page Review on Kaggle.mp4
2. Treasure in The Kaggle.mp4
4. What Should Be Done to Achieve Success in Kaggle.mp4
3. Publishing Notebooks on Kaggle.mp4
42. First Organization
4. Quiz.html
3. Initial analysis on the dataset.mp4
1. Required Python Libraries.mp4
2. Loading the Dataset.mp4
43. Preparation For Exploratory Data Analysis (EDA)
5. Quiz.html
4. Examining Statistics of Variables.mp4
1. Examining Missing Values.mp4
2. Examining Unique Values.mp4
3. Separating variables (Numeric or Categorical).mp4
44. Exploratory Data Analysis (EDA) - Uni-variate Analysis
6. Quiz.html
4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4
1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4
3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4
5. Examining the Missing Data According to the Analysis Result.mp4
2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4
45. Exploratory Data Analysis (EDA) - Bi-variate Analysis
15. Quiz.html
14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4
10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4
4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4
8. Creating a New DataFrame with the Melt() Function.mp4
1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4
6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4
9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4
11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4
13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4
2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4
12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4
7. Feature Scaling with the Robust Scaler Method.mp4
5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4
3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4
46. Preparation for Modelling in Machine Learning
12. Quiz.html
4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4
3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4
5. Dealing with Outliers – Thalach Variable.mp4
6. Dealing with Outliers – Oldpeak Variable.mp4
2. Visualizing Outliers.mp4
11. Separating Data into Test and Training Set.mp4
1. Dropping Columns with Low Correlation.mp4
7. Determining Distributions of Numeric Variables.mp4
9. Applying One Hot Encoding Method to Categorical Variables.mp4
8. Transformation Operations on Unsymmetrical Data.mp4
10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4
47. Modelling for machine learning
9. Quiz.html
4. Hyperparameter Optimization (with GridSearchCV).mp4
8. Hyperparameter Optimization (with GridSearchCV).mp4
3. Roc Curve and Area Under Curve (AUC).mp4
2. Cross Validation.mp4
7. Random Forest Algorithm.mp4
1. Logistic Regression.mp4
5. Decision Tree Algorithm.mp4
6. Support Vector Machine Algorithm.mp4
48. Conclusion
2. Quiz.html
1. Project Conclusion and Sharing.mp4
20. Linear Regression Algorithm in Machine Learning A-Z
3. Linear Regression Algorithm With Python Part 2.mp4
5. Linear Regression Algorithm With Python Part 4.mp4
2. Linear Regression Algorithm With Python Part 1.mp4
4. Linear Regression Algorithm With Python Part 3.mp4
1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp4
6. Operations in Numpy Library
2. Arithmetic Operations in Numpy.mp4
3. Statistical Operations in Numpy.mp4
4. Solving Second-Degree Equations with NumPy.mp4
1. Operations with Comparison Operators.mp4
25. Hyperparameter Optimization
2. Hyperparameter Optimization with Python.mp4
1. Hyperparameter Optimization Theory.mp4
5. Indexing, Slicing, and Assigning NumPy Arrays
7. Fancy Indexing of Two-Dimensional Arrrays.mp4
5. Assigning Value to Two-Dimensional Array.mp4
3. Slicing Two-Dimensional Numpy Arrays.mp4
1. Indexing Numpy Arrays.mp4
2. Slicing One-Dimensional Numpy Arrays.mp4
6. Fancy Indexing of One-Dimensional Arrrays.mp4
4. Assigning Value to One-Dimensional Arrays.mp4
9. Combining Fancy Index with Normal Slicing.mp4
8. Combining Fancy Index with Normal Indexing.mp4
27. Random Forest Algorithm in Machine Learning A-Z
3. Random Forest Algorithm with Pyhon Part 2.mp4
2. Random Forest Algorithm with Pyhon Part 1.mp4
1. Random Forest Algorithm Theory.mp4
32. Principal Component Analysis (PCA) in Machine Learning A-Z
1. Principal Component Analysis (PCA) Theory.mp4
4. Principal Component Analysis (PCA) with Python Part 3.mp4
2. Principal Component Analysis (PCA) with Python Part 1.mp4
3. Principal Component Analysis (PCA) with Python Part 2.mp4
23. K-fold Cross-Validation in Machine Learning A-Z
2. K-Fold Cross-Validation with Python.mp4
1. K-Fold Cross-Validation Theory.mp4
TutsNode.net.txt
[TGx]Downloaded from torrentgalaxy.to .txt
.pad
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
Torrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch Machine Learning & Data Science with Python, Kaggle & Pandas Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
