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[FreeCourseSite.com] Udemy - Complete Data Science & Machine Learning A-Z with Python
magnet:?xt=urn:btih:995e52c707e965713e15f8be5a94177580e2717e&dn=[FreeCourseSite.com] Udemy - Complete Data Science & Machine Learning A-Z with Python
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Hash值:
995e52c707e965713e15f8be5a94177580e2717e
点击数:
294
文件大小:
10.57 GB
文件数量:
242
创建日期:
2023-7-10 05:15
最后访问:
2025-1-21 17:29
访问标签:
FreeCourseSite
com
Udemy
-
Complete
Data
Science
&
Machine
Learning
A-Z
with
Python
文件列表详情
1. Installations/1. Installing Anaconda Distribution for Windows.mp4 118.32 MB
1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 46.31 MB
1. Installations/5. Installing Anaconda Distribution for Linux.mp4 114.75 MB
10. Element Selection Operations in DataFrame Structures/1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 29.9 MB
10. Element Selection Operations in DataFrame Structures/2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 31.84 MB
10. Element Selection Operations in DataFrame Structures/3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 38.29 MB
10. Element Selection Operations in DataFrame Structures/4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 31.41 MB
10. Element Selection Operations in DataFrame Structures/5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 22.11 MB
10. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp4 46.37 MB
11. Structural Operations on Pandas DataFrame/1. Adding Columns to Pandas Data Frames.mp4 33.58 MB
11. Structural Operations on Pandas DataFrame/2. Removing Rows and Columns from Pandas Data frames.mp4 15.56 MB
11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 66.96 MB
11. Structural Operations on Pandas DataFrame/4. Dropping Null Values Dropna() Function.mp4 34.54 MB
11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 51.62 MB
11. Structural Operations on Pandas DataFrame/6. Setting Index in Pandas DataFrames.mp4 39.7 MB
12. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 42.66 MB
12. Multi-Indexed DataFrame Structures/2. Element Selection in Multi-Indexed DataFrames.mp4 24.58 MB
12. Multi-Indexed DataFrame Structures/3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 31.25 MB
13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 63.84 MB
13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 57.29 MB
13. Structural Concatenation Operations in Pandas DataFrame/3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 30.55 MB
13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 60.17 MB
13. Structural Concatenation Operations in Pandas DataFrame/5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 40.68 MB
13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 56.05 MB
14. Functions That Can Be Applied on a DataFrame/1. Loading a Dataset from the Seaborn Library.mp4 37.72 MB
14. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp4 42.9 MB
14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 90.69 MB
14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 46.58 MB
14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 88.12 MB
14. Functions That Can Be Applied on a DataFrame/6. Advanced Aggregation Functions Aggregate() Function.mp4 29.22 MB
14. Functions That Can Be Applied on a DataFrame/7. Advanced Aggregation Functions Filter() Function.mp4 24.45 MB
14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 47.09 MB
14. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp4 41.42 MB
15. Pivot Tables in Pandas Library/1. Examining the Data Set 3.mp4 39.11 MB
15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 54.23 MB
16. File Operations in Pandas Library/1. Accessing and Making Files Available.mp4 34.61 MB
16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 64.34 MB
16. File Operations in Pandas Library/3. Data Entry with Excel Files.mp4 21.84 MB
16. File Operations in Pandas Library/4. Outputting as an CSV Extension.mp4 35.7 MB
16. File Operations in Pandas Library/5. Outputting as an Excel File.mp4 19.74 MB
18. Introduction to Data Visualization with Python/1. Introduction to Data Visualization with Python.mp4 12.85 MB
19. Fundamentals of Python 3/1. Data Types in Python.mp4 47.07 MB
19. Fundamentals of Python 3/10. Exercise - Solution in Python.mp4 51.89 MB
19. Fundamentals of Python 3/2. Operators in Python.mp4 35.71 MB
19. Fundamentals of Python 3/3. Conditionals in Python.mp4 41.23 MB
19. Fundamentals of Python 3/4. Loops in Python.mp4 58.81 MB
19. Fundamentals of Python 3/5. Lists, Tuples, Dictionaries and Sets in pyhton.mp4 75.33 MB
19. Fundamentals of Python 3/6. Data Type Operators and Methods in Python.mp4 43.86 MB
19. Fundamentals of Python 3/7. Modules in Python.mp4 23.95 MB
19. Fundamentals of Python 3/8. Functions in Python.mp4 28.93 MB
19. Fundamentals of Python 3/9. Exercise - Analyse in Python.mp4 8.46 MB
2. NumPy Library Introduction/1. Introduction to NumPy Library.mp4 45.27 MB
2. NumPy Library Introduction/2. The Power of NumPy.mp4 59.87 MB
20. Object Oriented Programming (OOP)/1. Logic of Object Oriented Programming.mp4 17.38 MB
20. Object Oriented Programming (OOP)/2. Constructor in Object Oriented Programming (OOP).mp4 35.84 MB
20. Object Oriented Programming (OOP)/3. Methods in Object Oriented Programming (OOP).mp4 25.1 MB
20. Object Oriented Programming (OOP)/4. Inheritance in Object Oriented Programming (OOP).mp4 34.58 MB
20. Object Oriented Programming (OOP)/5. Overriding and Overloading in Object Oriented Programming (OOP).mp4 62.7 MB
21. Matplotlib/1. What is Matplotlib.mp4 19.06 MB
21. Matplotlib/2. Using Pyplot.mp4 28.22 MB
21. Matplotlib/3. Pyplot – Pylab - Matplotlib.mp4 28.37 MB
21. Matplotlib/4. Figure, Subplot and Axex.mp4 69.89 MB
21. Matplotlib/5. Figure Customization.mp4 63.29 MB
21. Matplotlib/6. Plot Customization.mp4 27.38 MB
21. Matplotlib/7. Grid, Spines, Ticks.mp4 23.89 MB
21. Matplotlib/8. Basic Plots in Matplotlib I.mp4 111.17 MB
21. Matplotlib/9. Basic Plots in Matplotlib II.mp4 54.82 MB
22. Seaborn/1. What is Seaborn.mp4 13.59 MB
22. Seaborn/2. Controlling Figure Aesthetics in Seaborn.mp4 41.82 MB
22. Seaborn/3. Example in Seaborn.mp4 54.9 MB
22. Seaborn/4. Color Palettes in Seaborn.mp4 48.32 MB
22. Seaborn/5. Basic Plots in Seaborn.mp4 98.84 MB
22. Seaborn/6. Multi-Plots in Seaborn.mp4 42.98 MB
22. Seaborn/7. Regression Plots and Squarify in Seaborn.mp4 60.1 MB
23. Geoplotlib/1. What is Geoplotlib.mp4 34.18 MB
23. Geoplotlib/2. Example - 1.mp4 38.85 MB
23. Geoplotlib/3. Example - 2.mp4 81.14 MB
23. Geoplotlib/4. Example - 3.mp4 51.28 MB
24. First Contact with Machine Learning/1. What is Machine Learning.mp4 27.58 MB
24. First Contact with Machine Learning/2. Machine Learning Terminology.mp4 14.03 MB
25. Evaluation Metrics in Machine Learning/1. Classification vs Regression in Machine Learning.mp4 19.89 MB
25. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 100.26 MB
25. Evaluation Metrics in Machine Learning/3. Evaluating Performance Regression Error Metrics in Python.mp4 45.7 MB
25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 92.24 MB
26. Supervised Learning with Machine Learning/1. What is Supervised Learning in Machine Learning.mp4 31.69 MB
27. Linear Regression Algorithm in Machine Learning A-Z/1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp4 34.06 MB
27. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 76.17 MB
27. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 106.94 MB
27. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm With Python Part 3.mp4 70.28 MB
27. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm With Python Part 4.mp4 90 MB
28. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 55.03 MB
29. Logistic Regression Algorithm in Machine Learning A-Z/1. What is Logistic Regression Algorithm in Machine Learning.mp4 27.84 MB
29. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 72.22 MB
29. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 81.46 MB
29. Logistic Regression Algorithm in Machine Learning A-Z/4. Logistic Regression Algorithm with Python Part 3.mp4 47.35 MB
29. Logistic Regression Algorithm in Machine Learning A-Z/5. Logistic Regression Algorithm with Python Part 4.mp4 47.17 MB
29. Logistic Regression Algorithm in Machine Learning A-Z/6. Logistic Regression Algorithm with Python Part 5.mp4 39.35 MB
3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp4 29.5 MB
3. Creating NumPy Array in Python/2. Creating NumPy Array with Zeros() Function.mp4 24.06 MB
3. Creating NumPy Array in Python/3. Creating NumPy Array with Ones() Function.mp4 15.88 MB
3. Creating NumPy Array in Python/4. Creating NumPy Array with Full() Function.mp4 11.18 MB
3. Creating NumPy Array in Python/5. Creating NumPy Array with Arange() Function.mp4 12.1 MB
3. Creating NumPy Array in Python/6. Creating NumPy Array with Eye() Function.mp4 12.55 MB
3. Creating NumPy Array in Python/7. Creating NumPy Array with Linspace() Function.mp4 7.34 MB
3. Creating NumPy Array in Python/8. Creating NumPy Array with Random() Function.mp4 43.3 MB
3. Creating NumPy Array in Python/9. Properties of NumPy Array.mp4 21.98 MB
30. K-fold Cross-Validation in Machine Learning A-Z/1. K-Fold Cross-Validation Theory.mp4 17.45 MB
30. K-fold Cross-Validation in Machine Learning A-Z/2. K-Fold Cross-Validation with Python.mp4 34.67 MB
31. K Nearest Neighbors Algorithm in Machine Learning A-Z/1. K Nearest Neighbors Algorithm Theory.mp4 28.66 MB
31. K Nearest Neighbors Algorithm in Machine Learning A-Z/2. K Nearest Neighbors Algorithm with Python Part 1.mp4 35.03 MB
31. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 59.37 MB
31. K Nearest Neighbors Algorithm in Machine Learning A-Z/4. K Nearest Neighbors Algorithm with Python Part 3.mp4 31.4 MB
32. Hyperparameter Optimization/1. Hyperparameter Optimization Theory.mp4 33.14 MB
32. Hyperparameter Optimization/2. Hyperparameter Optimization with Python.mp4 47.47 MB
33. Decision Tree Algorithm in Machine Learning A-Z/1. Decision Tree Algorithm Theory.mp4 35.75 MB
33. Decision Tree Algorithm in Machine Learning A-Z/2. Decision Tree Algorithm with Python Part 1.mp4 31.53 MB
33. Decision Tree Algorithm in Machine Learning A-Z/3. Decision Tree Algorithm with Python Part 2.mp4 48.92 MB
33. Decision Tree Algorithm in Machine Learning A-Z/4. Decision Tree Algorithm with Python Part 3.mp4 14.72 MB
33. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 42.49 MB
33. Decision Tree Algorithm in Machine Learning A-Z/6. Decision Tree Algorithm with Python Part 5.mp4 32.67 MB
34. Random Forest Algorithm in Machine Learning A-Z/1. Random Forest Algorithm Theory.mp4 22.89 MB
34. Random Forest Algorithm in Machine Learning A-Z/2. Random Forest Algorithm with Pyhon Part 1.mp4 38.61 MB
34. Random Forest Algorithm in Machine Learning A-Z/3. Random Forest Algorithm with Pyhon Part 2.mp4 38.72 MB
35. Support Vector Machine Algorithm in Machine Learning A-Z/1. Support Vector Machine Algorithm Theory.mp4 21.84 MB
35. Support Vector Machine Algorithm in Machine Learning A-Z/2. Support Vector Machine Algorithm with Python Part 1.mp4 35.59 MB
35. Support Vector Machine Algorithm in Machine Learning A-Z/3. Support Vector Machine Algorithm with Python Part 2.mp4 41.72 MB
35. Support Vector Machine Algorithm in Machine Learning A-Z/4. Support Vector Machine Algorithm with Python Part 3.mp4 34.77 MB
35. Support Vector Machine Algorithm in Machine Learning A-Z/5. Support Vector Machine Algorithm with Python Part 4.mp4 37.55 MB
36. Unsupervised Learning with Machine Learning/1. Unsupervised Learning Overview.mp4 16.91 MB
37. K Means Clustering Algorithm in Machine Learning A-Z/1. K Means Clustering Algorithm Theory.mp4 17.13 MB
37. K Means Clustering Algorithm in Machine Learning A-Z/2. K Means Clustering Algorithm with Python Part 1.mp4 29.96 MB
37. K Means Clustering Algorithm in Machine Learning A-Z/3. K Means Clustering Algorithm with Python Part 2.mp4 29.64 MB
37. K Means Clustering Algorithm in Machine Learning A-Z/4. K Means Clustering Algorithm with Python Part 3.mp4 27.75 MB
37. K Means Clustering Algorithm in Machine Learning A-Z/5. K Means Clustering Algorithm with Python Part 4.mp4 29.03 MB
38. Hierarchical Clustering Algorithm in machine learning data science/1. Hierarchical Clustering Algorithm Theory.mp4 28.55 MB
38. Hierarchical Clustering Algorithm in machine learning data science/2. Hierarchical Clustering Algorithm with Python Part 2.mp4 35.52 MB
38. Hierarchical Clustering Algorithm in machine learning data science/3. Hierarchical Clustering Algorithm with Python Part 2.mp4 28.89 MB
39. Principal Component Analysis (PCA) in Machine Learning A-Z/1. Principal Component Analysis (PCA) Theory.mp4 37.96 MB
39. Principal Component Analysis (PCA) in Machine Learning A-Z/2. Principal Component Analysis (PCA) with Python Part 1.mp4 26.02 MB
39. Principal Component Analysis (PCA) in Machine Learning A-Z/3. Principal Component Analysis (PCA) with Python Part 2.mp4 8.42 MB
39. Principal Component Analysis (PCA) in Machine Learning A-Z/4. Principal Component Analysis (PCA) with Python Part 3.mp4 37.25 MB
4. Functions in the NumPy Library/1. Reshaping a NumPy Array Reshape() Function.mp4 26.16 MB
4. Functions in the NumPy Library/2. Identifying the Largest Element of a Numpy Array.mp4 15.12 MB
4. Functions in the NumPy Library/3. Detecting Least Element of Numpy Array Min(), Ar.mp4 10.17 MB
4. Functions in the NumPy Library/4. Concatenating Numpy Arrays Concatenate() Functio.mp4 38.36 MB
4. Functions in the NumPy Library/5. Splitting One-Dimensional Numpy Arrays The Split.mp4 20.9 MB
4. Functions in the NumPy Library/6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 35.73 MB
4. Functions in the NumPy Library/7. Sorting Numpy Arrays Sort() Function.mp4 17.02 MB
40. Recommender System Algorithm in Machine Learning A-Z/1. What is the Recommender System Part 1.mp4 23.04 MB
40. Recommender System Algorithm in Machine Learning A-Z/2. What is the Recommender System Part 2.mp4 17.96 MB
41. First Contact with Kaggle/1. What is Kaggle.mp4 129.67 MB
41. First Contact with Kaggle/3. Registering on Kaggle and Member Login Procedures.mp4 43.48 MB
41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 122.93 MB
42. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 188.17 MB
42. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 191.68 MB
43. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 133.23 MB
44. Code Section on Kaggle/1. Examining the Code Section in Kaggle Lesson 1.mp4 79.53 MB
44. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 105.81 MB
44. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 159.89 MB
45. Discussion Section on Kaggle/1. What is Discussion on Kaggle.mp4 40.63 MB
46. Other Most Used Options on Kaggle/1. Courses in Kaggle.mp4 52.14 MB
46. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 107.04 MB
46. Other Most Used Options on Kaggle/3. Blog and Documentation Sections.mp4 40.85 MB
47. Details on Kaggle/1. User Page Review on Kaggle.mp4 81.5 MB
47. Details on Kaggle/2. Treasure in The Kaggle.mp4 74.64 MB
47. Details on Kaggle/3. Publishing Notebooks on Kaggle.mp4 38.2 MB
47. Details on Kaggle/4. What Should Be Done to Achieve Success in Kaggle.mp4 58.48 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 117.14 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 104.93 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.mp4 76.51 MB
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 126.87 MB
49. First Organization/1. Required Python Libraries.mp4 63.55 MB
49. First Organization/2. Loading the Statistics Dataset in Data Science.mp4 10 MB
49. First Organization/3. Initial analysis on the dataset.mp4 63.96 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/1. Indexing Numpy Arrays,.mp4 26.56 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/2. Slicing One-Dimensional Numpy Arrays.mp4 22.27 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/3. Slicing Two-Dimensional Numpy Arrays.mp4 34.27 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/4. Assigning Value to One-Dimensional Arrays.mp4 18.2 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp4 35.4 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/6. Fancy Indexing of One-Dimensional Arrrays.mp4 20.49 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/7. Fancy Indexing of Two-Dimensional Arrrays.mp4 45.75 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/8. Combining Fancy Index with Normal Indexing.mp4 12.65 MB
5. Indexing, Slicing, and Assigning NumPy Arrays/9. Combining Fancy Index with Normal Slicing.mp4 16.46 MB
50. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.mp4 45.79 MB
50. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.mp4 44.54 MB
50. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).mp4 15.81 MB
50. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 91.37 MB
51. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 80.35 MB
51. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 19.75 MB
51. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 74.74 MB
51. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 84.06 MB
51. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.mp4 53.78 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 49.37 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 68.08 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 38.07 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 35.47 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 36.36 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 90.67 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 35.64 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 24.15 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 56.27 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 28.31 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 47.14 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.mp4 35.2 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.mp4 52.89 MB
52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 41.72 MB
53. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.mp4 26.83 MB
53. Preparation for Modelling in Machine Learning/10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 11.45 MB
53. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.mp4 29.75 MB
53. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.mp4 34.89 MB
53. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 42.82 MB
53. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 43.91 MB
53. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.mp4 36.24 MB
53. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.mp4 36.06 MB
53. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.mp4 25.17 MB
53. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.mp4 24.01 MB
53. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.mp4 24.09 MB
54. Modelling for Machine Learning/1. Logistic Regression.mp4 29.34 MB
54. Modelling for Machine Learning/2. Cross Validation.mp4 30.21 MB
54. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).mp4 41.71 MB
54. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).mp4 58.77 MB
54. Modelling for Machine Learning/5. Decision Tree Algorithm.mp4 25.7 MB
54. Modelling for Machine Learning/6. Support Vector Machine Algorithm.mp4 24.52 MB
54. Modelling for Machine Learning/7. Random Forest Algorithm.mp4 29.78 MB
54. Modelling for Machine Learning/8. Hyperparameter Optimization (with GridSearchCV).mp4 52.65 MB
55. Conclusion/1. Project Conclusion and Sharing.mp4 28.66 MB
6. Operations in Numpy Library/1. Operations with Comparison Operators.mp4 21.14 MB
6. Operations in Numpy Library/2. Arithmetic Operations in Numpy.mp4 71.82 MB
6. Operations in Numpy Library/3. Statistical Operations in Numpy.mp4 32.02 MB
6. Operations in Numpy Library/4. Solving Second-Degree Equations with NumPy.mp4 24.2 MB
7. Pandas Library Introduction/1. Introduction to Pandas Library.mp4 33.93 MB
8. Series Structures in the Pandas Library/1. Creating a Pandas Series with a List.mp4 39.19 MB
8. Series Structures in the Pandas Library/2. Creating a Pandas Series with a Dictionary.mp4 18.29 MB
8. Series Structures in the Pandas Library/3. Creating Pandas Series with NumPy Array.mp4 11.97 MB
8. Series Structures in the Pandas Library/4. Object Types in Series.mp4 19.58 MB
8. Series Structures in the Pandas Library/5. Examining the Primary Features of the Pandas Seri.mp4 18.94 MB
8. Series Structures in the Pandas Library/6. Most Applied Methods on Pandas Series.mp4 48.21 MB
8. Series Structures in the Pandas Library/7. Indexing and Slicing Pandas Series.mp4 29.89 MB
9. DataFrame Structures in Pandas Library/1. Creating Pandas DataFrame with List.mp4 22.57 MB
9. DataFrame Structures in Pandas Library/2. Creating Pandas DataFrame with NumPy Array.mp4 12.1 MB
9. DataFrame Structures in Pandas Library/3. Creating Pandas DataFrame with Dictionary.mp4 15.84 MB
9. DataFrame Structures in Pandas Library/4. Examining the Properties of Pandas DataFrames.mp4 25.94 MB
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