Create Tool:
Create Time:2023-06-28 05:51:17
File Size:10.57 GB
File Count:307
File Hash:995e52c707e965713e15f8be5a94177580e2717e
0. Websites you may like/[CourseClub.Me].url | 122 B |
0. Websites you may like/[FreeCourseSite.com].url | 127 B |
0. Websites you may like/[GigaCourse.Com].url | 49 B |
1. Installations/1. Installing Anaconda Distribution for Windows.mp4 | 118.32 MB |
1. Installations/2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html | 155 B |
1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 | 46.31 MB |
1. Installations/4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html | 4.19 KB |
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 | 29.90 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 |
10. Element Selection Operations in DataFrame Structures/7. Quiz.html | 205 B |
11. Structural Operations on Pandas DataFrame/0. Websites you may like/[CourseClub.Me].url | 122 B |
11. Structural Operations on Pandas DataFrame/0. Websites you may like/[FreeCourseSite.com].url | 127 B |
11. Structural Operations on Pandas DataFrame/0. Websites you may like/[GigaCourse.Com].url | 49 B |
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 | 39.70 MB |
11. Structural Operations on Pandas DataFrame/7. Quiz.html | 205 B |
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 |
12. Multi-Indexed DataFrame Structures/4. Quiz.html | 205 B |
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 |
13. Structural Concatenation Operations in Pandas DataFrame/7. Quiz.html | 205 B |
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/10. Quiz.html | 205 B |
14. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp4 | 42.90 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 |
15. Pivot Tables in Pandas Library/3. Quiz.html | 205 B |
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 | 35.70 MB |
16. File Operations in Pandas Library/5. Outputting as an Excel File.mp4 | 19.74 MB |
16. File Operations in Pandas Library/6. Quiz.html | 205 B |
17. Code Files And Resources Python data analysis and visualization/1. Data Visualisation - Matplotlib Files.html | 170 B |
17. Code Files And Resources Python data analysis and visualization/2. Data Visualisation - Seaborn Files.html | 170 B |
17. Code Files And Resources Python data analysis and visualization/3. Data Visualisation - Geoplotlib.html | 168 B |
18. Introduction to Data Visualization with Python/1. Introduction to Data Visualization with Python.mp4 | 12.85 MB |
18. Introduction to Data Visualization with Python/2. FAQ regarding Data Visualization, Python.html | 8.59 KB |
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 3/11. Quiz.html | 205 B |
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 |
2. NumPy Library Introduction/3. Quiz.html | 205 B |
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 | 25.10 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 | 62.70 MB |
20. Object Oriented Programming (OOP)/6. Quiz.html | 205 B |
21. Matplotlib/1. What is Matplotlib.mp4 | 19.06 MB |
21. Matplotlib/10. Quiz.html | 205 B |
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 | 54.90 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 | 60.10 MB |
22. Seaborn/8. Quiz.html | 205 B |
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 |
23. Geoplotlib/5. Quiz.html | 205 B |
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 |
24. First Contact with Machine Learning/3. Machine Learning Project Files.html | 254 B |
24. First Contact with Machine Learning/4. FAQ regarding Python.html | 6.23 KB |
24. First Contact with Machine Learning/5. FAQ regarding Machine Learning.html | 6.59 KB |
24. First Contact with Machine Learning/6. Quiz.html | 205 B |
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 | 45.70 MB |
25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 | 92.24 MB |
25. Evaluation Metrics in Machine Learning/5. Quiz.html | 205 B |
26. Supervised Learning with Machine Learning/0. Websites you may like/[CourseClub.Me].url | 122 B |
26. Supervised Learning with Machine Learning/0. Websites you may like/[FreeCourseSite.com].url | 127 B |
26. Supervised Learning with Machine Learning/0. Websites you may like/[GigaCourse.Com].url | 49 B |
26. Supervised Learning with Machine Learning/1. What is Supervised Learning in Machine Learning.mp4 | 31.69 MB |
26. Supervised Learning with Machine Learning/2. Quiz.html | 205 B |
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 | 90.00 MB |
28. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 | 55.03 MB |
28. Bias Variance Trade-Off in Machine Learning/2. Quiz.html | 205 B |
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 |
29. Logistic Regression Algorithm in Machine Learning A-Z/7. Quiz.html | 205 B |
3. Creating NumPy Array in Python/1. Creating NumPy Array with The Array() Function.mp4 | 29.50 MB |
3. Creating NumPy Array in Python/10. Quiz.html | 205 B |
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 | 12.10 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 | 43.30 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 | 31.40 MB |
31. K Nearest Neighbors Algorithm in Machine Learning A-Z/5. Quiz.html | 205 B |
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 |
33. Decision Tree Algorithm in Machine Learning A-Z/7. Quiz.html | 205 B |
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 |
35. Support Vector Machine Algorithm in Machine Learning A-Z/6. Quiz.html | 205 B |
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 |
37. K Means Clustering Algorithm in Machine Learning A-Z/6. Quiz.html | 205 B |
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 | 20.90 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 |
4. Functions in the NumPy Library/8. Quiz.html | 205 B |
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/2. FAQ about Kaggle.html | 10.94 KB |
41. First Contact with Kaggle/3. Registering on Kaggle and Member Login Procedures.mp4 | 43.48 MB |
41. First Contact with Kaggle/4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html | 97 B |
41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 | 122.93 MB |
41. First Contact with Kaggle/6. quiz.html | 205 B |
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 |
43. Dataset Section on Kaggle/2. Quiz.html | 205 B |
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 |
44. Code Section on Kaggle/4. Quiz.html | 205 B |
45. Discussion Section on Kaggle/1. What is Discussion on Kaggle.mp4 | 40.63 MB |
45. Discussion Section on Kaggle/2. Quiz.html | 205 B |
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 |
46. Other Most Used Options on Kaggle/4. Quiz.html | 205 B |
47. Details on Kaggle/1. User Page Review on Kaggle.mp4 | 81.50 MB |
47. Details on Kaggle/2. Treasure in The Kaggle.mp4 | 74.64 MB |
47. Details on Kaggle/3. Publishing Notebooks on Kaggle.mp4 | 38.20 MB |
47. Details on Kaggle/4. What Should Be Done to Achieve Success in Kaggle.mp4 | 58.48 MB |
47. Details on Kaggle/5. Quiz.html | 205 B |
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/2. FAQ about Machine Learning, Data Science.html | 15.29 KB |
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/4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html | 108 B |
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 |
48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/7. Quiz.html | 205 B |
49. First Organization/1. Required Python Libraries.mp4 | 63.55 MB |
49. First Organization/2. Loading the Statistics Dataset in Data Science.mp4 | 10.00 MB |
49. First Organization/3. Initial analysis on the dataset.mp4 | 63.96 MB |
49. First Organization/4. Quiz.html | 205 B |
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 | 18.20 MB |
5. Indexing, Slicing, and Assigning NumPy Arrays/5. Assigning Value to Two-Dimensional Array.mp4 | 35.40 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 |
50. Preparation For Exploratory Data Analysis (EDA) in Data Science/5. Quiz.html | 205 B |
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 |
51. Exploratory Data Analysis (EDA) - Uni-variate Analysis/6. Quiz.html | 205 B |
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/15. Quiz.html | 205 B |
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 | 35.20 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/12. Quiz.html | 205 B |
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 | 25.70 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 |
54. Modelling for Machine Learning/9. Quiz.html | 205 B |
55. Conclusion/1. Project Conclusion and Sharing.mp4 | 28.66 MB |
55. Conclusion/2. Quiz.html | 205 B |
56. Extra/1. Complete Data Science & Machine Learning A-Z with Python.html | 266 B |
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 | 24.20 MB |
7. Pandas Library Introduction/1. Introduction to Pandas Library.mp4 | 33.93 MB |
7. Pandas Library Introduction/2. Pandas Project Files Link.html | 180 B |
7. Pandas Library Introduction/3. Quiz.html | 205 B |
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 |
8. Series Structures in the Pandas Library/8. Quiz.html | 205 B |
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 | 12.10 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 |
9. DataFrame Structures in Pandas Library/5. Quiz.html | 205 B |
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