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Complete Data Science & Machine Learning A-Z with Python
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[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python (Size: 10.80 GB) (Files: 541)
[TutsNode.net] - Complete Data Science & Machine Learning A-Z with Python
42. Competition Section on Kaggle
2. Competitions on Kaggle Lesson 2.mp4
1. Competitions on Kaggle Lesson 1.mp4
48. 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 Hearth Attack Prediction 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
41. 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
18. Introduction to Data Visualization with Python
2. FAQ regarding Data Visualization, Python.html
1. Introduction to Data Visualization with Python.mp4
24. First Contact with Machine Learning
5. FAQ regarding Machine Learning.html
4. FAQ regarding Python.html
3. Machine Learning Project Files.html
6. Quiz.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
56. Extra
1. Complete Data Science & Machine Learning A-Z with Python.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() Functio.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
19. Fundamentals of Python 3
11. Quiz.html
5. Lists, Tuples, Dictionaries and Sets in pyhton.mp4
4. Loops in Python.mp4
10. Exercise - Solution in Python.mp4
1. Data Types in Python.mp4
6. Data Type Operators and Methods in Python.mp4
3. Conditionals in Python.mp4
2. Operators in Python.mp4
8. Functions in Python.mp4
7. Modules in Python.mp4
9. Exercise - Analyse in Python.mp4
20. Object Oriented Programming (OOP)
6. Quiz.html
5. Overriding and Overloading in Object Oriented Programming (OOP).mp4
2. Constructor in Object Oriented Programming (OOP).mp4
4. Inheritance in Object Oriented Programming (OOP).mp4
3. Methods in Object Oriented Programming (OOP).mp4
1. Logic of Object Oriented Programming.mp4
21. Matplotlib
10. Quiz.html
8. Basic Plots in Matplotlib I.mp4
4. Figure, Subplot and Axex.mp4
5. Figure Customization.mp4
9. Basic Plots in Matplotlib II.mp4
3. Pyplot – Pylab - Matplotlib.mp4
2. Using Pyplot.mp4
6. Plot Customization.mp4
7. Grid, Spines, Ticks.mp4
1. What is Matplotlib.mp4
22. Seaborn
8. Quiz.html
5. Basic Plots in Seaborn.mp4
7. Regression Plots and Squarify in Seaborn.mp4
3. Example in Seaborn.mp4
4. Color Palettes in Seaborn.mp4
6. Multi-Plots in Seaborn.mp4
2. Controlling Figure Aesthetics in Seaborn.mp4
1. What is Seaborn.mp4
23. Geoplotlib
5. Quiz.html
3. Example - 2.mp4
4. Example - 3.mp4
2. Example - 1.mp4
1. What is Geoplotlib.mp4
25. 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
26. Supervised Learning with Machine Learning
2. Quiz.html
1. What is Supervised Learning in Machine Learning.mp4
28. Bias Variance Trade-Off in Machine Learning
2. Quiz.html
1. What is Bias Variance Trade-Off.mp4
29. 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
4. Logistic Regression Algorithm with Python Part 3.mp4
5. Logistic Regression Algorithm with Python Part 4.mp4
6. Logistic Regression Algorithm with Python Part 5.mp4
1. What is Logistic Regression Algorithm in Machine Learning.mp4
31. 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
33. 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
35. Support Vector Machine Algorithm in Machine Learning A-Z
6. Quiz.html
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
4. Support Vector Machine Algorithm with Python Part 3.mp4
1. Support Vector Machine Algorithm Theory.mp4
37. 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
43. Dataset Section on Kaggle
2. Quiz.html
1. Datasets on Kaggle.mp4
44. 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
45. Discussion Section on Kaggle
2. Quiz.html
1. What is Discussion on Kaggle.mp4
46. 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
47. 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
49. First Organization
4. Quiz.html
3. Initial analysis on the dataset.mp4
1. Required Python Libraries.mp4
2. Loading the Statistics Dataset in Data Science.mp4
50. Preparation For Exploratory Data Analysis (EDA) in Data Science
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
51. 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
52. 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
53. 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
54. 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
55. Conclusion
2. Quiz.html
1. Project Conclusion and Sharing.mp4
17. Code Files And Resources Python data analysis and visualization
1. Data Visualisation - Matplotlib Files.html
2. Data Visualisation - Seaborn Files.html
3. Data Visualisation - Geoplotlib.html
27. 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
32. 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
34. 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
39. 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
38. Hierarchical Clustering Algorithm in machine learning data science
2. Hierarchical Clustering Algorithm with Python Part 2.mp4
3. Hierarchical Clustering Algorithm with Python Part 2.mp4
1. Hierarchical Clustering Algorithm Theory.mp4
30. K-fold Cross-Validation in Machine Learning A-Z
2. K-Fold Cross-Validation with Python.mp4
1. K-Fold Cross-Validation Theory.mp4
40. Recommender System Algorithm in Machine Learning A-Z
1. What is the Recommender System Part 1.mp4
2. What is the Recommender System Part 2.mp4
36. Unsupervised Learning with Machine Learning
1. Unsupervised Learning Overview.mp4
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