Download Udemy-Machine Learning & Data Science with Python, Kaggle & Pandas.2023.VO.WEBrip.720p.x264 Torrent

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Udemy-Machine Learning & Data Science with Python, Kaggle & Pandas.2023.VO.WEBrip.720p.x264

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1. Installations

1. Installing Anaconda Distribution for Windows.mp4	MP4	118.3 MB
2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html	HTML	155 B
3. Installing Anaconda Distribution for MacOs.mp4	MP4	46.34 MB
4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html	HTML	4.19 KB
5. Installing Anaconda Distribution for Linux.mp4	MP4	114.79 MB

10. Element Selection Operations in DataFrame Structures

1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4	MP4	29.88 MB
2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4	MP4	31.83 MB
3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4	MP4	38.31 MB
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4	MP4	31.42 MB
5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4	MP4	22.08 MB
6. Element Selection with Conditional Operations in.mp4	MP4	46.37 MB
7. Quiz.html	HTML	205 B

11. Structural Operations on Pandas DataFrame

1. Adding Columns to Pandas Data Frames.mp4	MP4	33.58 MB
2. Removing Rows and Columns from Pandas Data frames.mp4	MP4	15.57 MB
3. Null Values in Pandas Dataframes.mp4	MP4	66.95 MB
4. Dropping Null Values Dropna() Function.mp4	MP4	34.53 MB
5. Filling Null Values Fillna() Function.mp4	MP4	51.61 MB
6. Setting Index in Pandas DataFrames.mp4	MP4	39.7 MB
7. Quiz.html	HTML	205 B

12. Multi-Indexed DataFrame Structures

1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4	MP4	42.66 MB
2. Element Selection in Multi-Indexed DataFrames.mp4	MP4	24.59 MB
3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4	MP4	31.28 MB
4. Quiz.html	HTML	205 B

13. Structural Concatenation Operations in Pandas DataFrame

1. Concatenating Pandas Dataframes Concat Function.mp4	MP4	63.88 MB
2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4	MP4	57.3 MB
3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4	MP4	30.52 MB
4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4	MP4	60.14 MB
5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4	MP4	40.7 MB
6. Joining Pandas Dataframes Join() Function.mp4	MP4	56.05 MB
7. Quiz.html	HTML	205 B

14. Functions That Can Be Applied on a DataFrame

1. Loading a Dataset from the Seaborn Library.mp4	MP4	37.72 MB
10. Quiz.html	HTML	205 B
2. Examining the Data Set 1.mp4	MP4	42.88 MB
3. Aggregation Functions in Pandas DataFrames.mp4	MP4	90.71 MB
4. Examining the Data Set 2.mp4	MP4	46.57 MB
5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4	MP4	88.12 MB
6. Advanced Aggregation Functions Aggregate() Function.mp4	MP4	29.23 MB
7. Advanced Aggregation Functions Filter() Function.mp4	MP4	24.47 MB
8. Advanced Aggregation Functions Transform() Function.mp4	MP4	47.1 MB
9. Advanced Aggregation Functions Apply() Function.mp4	MP4	41.43 MB

15. Pivot Tables in Pandas Library

1. Examining the Data Set 3.mp4	MP4	39.12 MB
2. Pivot Tables in Pandas Library.mp4	MP4	54.23 MB
3. Quiz.html	HTML	205 B

16. File Operations in Pandas Library

1. Accessing and Making Files Available.mp4	MP4	34.62 MB
2. Data Entry with Csv and Txt Files.mp4	MP4	64.36 MB
3. Data Entry with Excel Files.mp4	MP4	21.83 MB
4. Outputting as an CSV Extension.mp4	MP4	35.71 MB
5. Outputting as an Excel File.mp4	MP4	19.76 MB
6. Quiz.html	HTML	205 B

17. First Contact with Machine Learning

1. What is Machine Learning.mp4	MP4	27.58 MB
2. Machine Learning Terminology.mp4	MP4	14.04 MB
3. Machine Learning Project Files.html	HTML	254 B
4. FAQ regarding Python.html	HTML	6.23 KB
5. FAQ regarding Machine Learning.html	HTML	6.59 KB

18. Evaluation Metrics in Machine Learning

1. Classification vs Regression in Machine Learning.mp4	MP4	19.91 MB
2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4	MP4	100.29 MB
3. Evaluating Performance Regression Error Metrics in Python.mp4	MP4	45.71 MB
4. Machine Learning With Python.mp4	MP4	92.26 MB
5. Quiz.html	HTML	205 B

19. Supervised Learning with Machine Learning

	1. What is Supervised Learning in Machine Learning.mp4	MP4	31.69 MB
	2. Quiz.html	HTML	205 B

2. NumPy Library Introduction

1. Introduction to NumPy Library.mp4	MP4	45.3 MB
2. The Power of NumPy.mp4	MP4	59.87 MB
3. Quiz.html	HTML	205 B

20. Linear Regression Algorithm in Machine Learning A-Z

1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp4	MP4	34.06 MB
2. Linear Regression Algorithm With Python Part 1.mp4	MP4	76.18 MB
3. Linear Regression Algorithm With Python Part 2.mp4	MP4	106.94 MB
4. Linear Regression Algorithm With Python Part 3.mp4	MP4	70.28 MB
5. Linear Regression Algorithm With Python Part 4.mp4	MP4	89.99 MB

21. Bias Variance Trade-Off in Machine Learning

	1. What is Bias Variance Trade-Off.mp4	MP4	55.04 MB
	2. Quiz.html	HTML	205 B

22. Logistic Regression Algorithm in Machine Learning A-Z

1. What is Logistic Regression Algorithm in Machine Learning.mp4	MP4	27.84 MB
2. Logistic Regression Algorithm with Python Part 1.mp4	MP4	72.23 MB
3. Logistic Regression Algorithm with Python Part 2.mp4	MP4	81.46 MB
4. Logistic Regression Algorithm with Python Part 3.mp4	MP4	34.78 MB
5. Logistic Regression Algorithm with Python Part 4.mp4	MP4	47.16 MB
6. Logistic Regression Algorithm with Python Part 5.mp4	MP4	39.36 MB
7. Quiz.html	HTML	205 B

23. K-fold Cross-Validation in Machine Learning A-Z

	1. K-Fold Cross-Validation Theory.mp4	MP4	17.46 MB
	2. K-Fold Cross-Validation with Python.mp4	MP4	34.66 MB

24. K Nearest Neighbors Algorithm in Machine Learning A-Z

1. K Nearest Neighbors Algorithm Theory.mp4	MP4	28.67 MB
2. K Nearest Neighbors Algorithm with Python Part 1.mp4	MP4	35.05 MB
3. K Nearest Neighbors Algorithm with Python Part 2.mp4	MP4	59.39 MB
4. K Nearest Neighbors Algorithm with Python Part 3.mp4	MP4	31.39 MB
5. Quiz.html	HTML	205 B

25. Hyperparameter Optimization

	1. Hyperparameter Optimization Theory.mp4	MP4	33.15 MB
	2. Hyperparameter Optimization with Python.mp4	MP4	47.47 MB

26. Decision Tree Algorithm in Machine Learning A-Z

1. Decision Tree Algorithm Theory.mp4	MP4	35.76 MB
2. Decision Tree Algorithm with Python Part 1.mp4	MP4	31.54 MB
3. Decision Tree Algorithm with Python Part 2.mp4	MP4	48.97 MB
4. Decision Tree Algorithm with Python Part 3.mp4	MP4	14.71 MB
5. Decision Tree Algorithm with Python Part 4.mp4	MP4	42.49 MB
6. Decision Tree Algorithm with Python Part 5.mp4	MP4	32.68 MB
7. Quiz.html	HTML	205 B

27. Random Forest Algorithm in Machine Learning A-Z

1. Random Forest Algorithm Theory.mp4	MP4	22.89 MB
2. Random Forest Algorithm with Pyhon Part 1.mp4	MP4	38.59 MB
3. Random Forest Algorithm with Pyhon Part 2.mp4	MP4	38.74 MB

28. Support Vector Machine Algorithm in Machine Learning A-Z

1. Support Vector Machine Algorithm Theory.mp4	MP4	21.84 MB
2. Support Vector Machine Algorithm with Python Part 1.mp4	MP4	35.56 MB
3. Support Vector Machine Algorithm with Python Part 2.mp4	MP4	41.72 MB
4. Support Vector Machine Algorithm with Python Part 3.mp4	MP4	47.35 MB
5. Support Vector Machine Algorithm with Python Part 4.mp4	MP4	37.56 MB
6. Quiz.html	HTML	205 B

29. Unsupervised Learning with Machine Learning

	1. Unsupervised Learning Overview.mp4	MP4	16.92 MB
	2. Quiz.html	HTML	205 B

3. Creating NumPy Array in Python

1. Creating NumPy Array with The Array() Function.mp4	MP4	29.49 MB
10. Quiz.html	HTML	205 B
2. Creating NumPy Array with Zeros() Function.mp4	MP4	24.06 MB
3. Creating NumPy Array with Ones() Function.mp4	MP4	15.84 MB
4. Creating NumPy Array with Full() Function.mp4	MP4	11.19 MB
5. Creating NumPy Array with Arange() Function.mp4	MP4	12.09 MB
6. Creating NumPy Array with Eye() Function.mp4	MP4	12.57 MB
7. Creating NumPy Array with Linspace() Function.mp4	MP4	7.34 MB
8. Creating NumPy Array with Random() Function.mp4	MP4	43.3 MB
9. Properties of NumPy Array.mp4	MP4	22.01 MB

30. K Means Clustering Algorithm in Machine Learning A-Z

1. K Means Clustering Algorithm Theory.mp4	MP4	17.14 MB
2. K Means Clustering Algorithm with Python Part 1.mp4	MP4	29.94 MB
3. K Means Clustering Algorithm with Python Part 2.mp4	MP4	29.65 MB
4. K Means Clustering Algorithm with Python Part 3.mp4	MP4	27.76 MB
5. K Means Clustering Algorithm with Python Part 4.mp4	MP4	29.03 MB
6. Quiz.html	HTML	205 B

31. Hierarchical Clustering Algorithm in machine learning data science

1. Hierarchical Clustering Algorithm Theory.mp4	MP4	28.57 MB
2. Hierarchical Clustering Algorithm with Python Part 1.mp4	MP4	35.51 MB
3. Hierarchical Clustering Algorithm with Python Part 2.mp4	MP4	28.9 MB
4. Quiz.html	HTML	205 B

32. Principal Component Analysis (PCA) in Machine Learning A-Z

1. Principal Component Analysis (PCA) Theory.mp4	MP4	37.95 MB
2. Principal Component Analysis (PCA) with Python Part 1.mp4	MP4	26.02 MB
3. Principal Component Analysis (PCA) with Python Part 2.mp4	MP4	8.43 MB
4. Principal Component Analysis (PCA) with Python Part 3.mp4	MP4	37.27 MB

33. Recommender System Algorithm in Machine Learning A-Z

1. What is the Recommender System Part 1.mp4	MP4	23.02 MB
2. What is the Recommender System Part 2.mp4	MP4	17.96 MB
3. Quiz.html	HTML	205 B

34. First Contact with Kaggle

1. What is Kaggle.mp4	MP4	129.75 MB
2. FAQ about Kaggle.html	HTML	10.94 KB
3. Registering on Kaggle and Member Login Procedures.mp4	MP4	43.55 MB
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html	HTML	108 B
5. Getting to Know the Kaggle Homepage.mp4	MP4	122.88 MB
6. Quiz.html	HTML	205 B

35. Competition Section on Kaggle

1. Competitions on Kaggle Lesson 1.mp4	MP4	188.2 MB
2. Competitions on Kaggle Lesson 2.mp4	MP4	191.71 MB
3. Quiz.html	HTML	205 B

36. Dataset Section on Kaggle

	1. Datasets on Kaggle.mp4	MP4	133.21 MB
	2. Quiz.html	HTML	205 B

37. Code Section on Kaggle

1. Examining the Code Section in Kaggle Lesson 1.mp4	MP4	79.55 MB
2. Examining the Code Section in Kaggle Lesson 2.mp4	MP4	105.81 MB
3. Examining the Code Section in Kaggle Lesson 3.mp4	MP4	159.82 MB
4. Quiz.html	HTML	205 B

38. Discussion Section on Kaggle

	1. What is Discussion on Kaggle.mp4	MP4	40.65 MB
	2. Quiz.html	HTML	205 B

39. Other Most Used Options on Kaggle

1. Courses in Kaggle.mp4	MP4	52.16 MB
2. Ranking Among Users on Kaggle.mp4	MP4	107 MB
3. Blog and Documentation Sections.mp4	MP4	40.91 MB
4. Quiz.html	HTML	205 B

4. Functions in the NumPy Library

1. Reshaping a NumPy Array Reshape() Function.mp4	MP4	26.15 MB
2. Identifying the Largest Element of a Numpy Array.mp4	MP4	15.14 MB
3. Detecting Least Element of Numpy Array Min(), Ar.mp4	MP4	10.19 MB
4. Concatenating Numpy Arrays Concatenate() Function.mp4	MP4	38.38 MB
5. Splitting One-Dimensional Numpy Arrays The Split.mp4	MP4	20.91 MB
6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4	MP4	35.72 MB
7. Sorting Numpy Arrays Sort() Function.mp4	MP4	17.04 MB
8. Quiz.html	HTML	205 B

40. Details on Kaggle

1. User Page Review on Kaggle.mp4	MP4	81.57 MB
2. Treasure in The Kaggle.mp4	MP4	74.66 MB
3. Publishing Notebooks on Kaggle.mp4	MP4	38.21 MB
4. What Should Be Done to Achieve Success in Kaggle.mp4	MP4	58.42 MB
5. Quiz.html	HTML	205 B

41. Introduction to Machine Learning with Real Hearth Attack Prediction Project

1. First Step to the Project.mp4	MP4	117.19 MB
2. FAQ about Machine Learning, Data Science.html	HTML	15.29 KB
3. Notebook Design to be Used in the Project.mp4	MP4	104.96 MB
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html	HTML	108 B
5. Examining the Project Topic.mp4	MP4	76.53 MB
6. Recognizing Variables In Dataset.mp4	MP4	126.88 MB
7. Quiz.html	HTML	205 B

42. First Organization

1. Required Python Libraries.mp4	MP4	63.57 MB
2. Loading the Dataset.mp4	MP4	9.99 MB
3. Initial analysis on the dataset.mp4	MP4	63.98 MB
4. Quiz.html	HTML	205 B

43. Preparation For Exploratory Data Analysis (EDA)

1. Examining Missing Values.mp4	MP4	45.78 MB
2. Examining Unique Values.mp4	MP4	44.56 MB
3. Separating variables (Numeric or Categorical).mp4	MP4	15.84 MB
4. Examining Statistics of Variables.mp4	MP4	91.38 MB
5. Quiz.html	HTML	205 B

44. Exploratory Data Analysis (EDA) - Uni-variate Analysis

1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4	MP4	80.4 MB
2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4	MP4	19.73 MB
3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4	MP4	74.77 MB
4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4	MP4	84.04 MB
5. Examining the Missing Data According to the Analysis Result.mp4	MP4	53.78 MB
6. Quiz.html	HTML	205 B

45. Exploratory Data Analysis (EDA) - Bi-variate Analysis

1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4	MP4	49.34 MB
10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4	MP4	68.07 MB
11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4	MP4	38.07 MB
12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4	MP4	35.46 MB
13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4	MP4	36.37 MB
14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4	MP4	90.66 MB
15. Quiz.html	HTML	205 B
2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4	MP4	35.62 MB
3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4	MP4	24.12 MB
4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4	MP4	56.28 MB
5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4	MP4	28.36 MB
6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4	MP4	47.16 MB
7. Feature Scaling with the Robust Scaler Method.mp4	MP4	35.19 MB
8. Creating a New DataFrame with the Melt() Function.mp4	MP4	52.88 MB
9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4	MP4	41.7 MB

46. Preparation for Modelling in Machine Learning

1. Dropping Columns with Low Correlation.mp4	MP4	26.82 MB
10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4	MP4	11.46 MB
11. Separating Data into Test and Training Set.mp4	MP4	29.76 MB
12. Quiz.html	HTML	205 B
2. Visualizing Outliers.mp4	MP4	34.87 MB
3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4	MP4	42.84 MB
4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4	MP4	43.91 MB
5. Dealing with Outliers – Thalach Variable.mp4	MP4	36.23 MB
6. Dealing with Outliers – Oldpeak Variable.mp4	MP4	36.08 MB
7. Determining Distributions of Numeric Variables.mp4	MP4	25.2 MB
8. Transformation Operations on Unsymmetrical Data.mp4	MP4	24 MB
9. Applying One Hot Encoding Method to Categorical Variables.mp4	MP4	24.09 MB

47. Modelling for machine learning

1. Logistic Regression.mp4	MP4	29.34 MB
2. Cross Validation.mp4	MP4	30.21 MB
3. Roc Curve and Area Under Curve (AUC).mp4	MP4	41.68 MB
4. Hyperparameter Optimization (with GridSearchCV).mp4	MP4	58.77 MB
5. Decision Tree Algorithm.mp4	MP4	25.7 MB
6. Support Vector Machine Algorithm.mp4	MP4	24.5 MB
7. Random Forest Algorithm.mp4	MP4	29.78 MB
8. Hyperparameter Optimization (with GridSearchCV).mp4	MP4	52.67 MB
9. Quiz.html	HTML	205 B

48. Conclusion

	1. Project Conclusion and Sharing.mp4	MP4	28.65 MB
	2. Quiz.html	HTML	205 B

49. Extra

1. Machine Learning & Data Science with Kaggle, Pandas , Numpy.html

HTML

266 B

5. Indexing, Slicing, and Assigning NumPy Arrays

1. Indexing Numpy Arrays.mp4	MP4	26.6 MB
2. Slicing One-Dimensional Numpy Arrays.mp4	MP4	22.29 MB
3. Slicing Two-Dimensional Numpy Arrays.mp4	MP4	34.27 MB
4. Assigning Value to One-Dimensional Arrays.mp4	MP4	18.2 MB
5. Assigning Value to Two-Dimensional Array.mp4	MP4	35.41 MB
6. Fancy Indexing of One-Dimensional Arrrays.mp4	MP4	20.48 MB
7. Fancy Indexing of Two-Dimensional Arrrays.mp4	MP4	45.72 MB
8. Combining Fancy Index with Normal Indexing.mp4	MP4	12.65 MB
9. Combining Fancy Index with Normal Slicing.mp4	MP4	16.46 MB

6. Operations in Numpy Library

1. Operations with Comparison Operators.mp4	MP4	21.17 MB
2. Arithmetic Operations in Numpy.mp4	MP4	71.87 MB
3. Statistical Operations in Numpy.mp4	MP4	31.98 MB
4. Solving Second-Degree Equations with NumPy.mp4	MP4	24.2 MB

7. Pandas Library Introduction

1. Introduction to Pandas Library.mp4	MP4	33.93 MB
2. Pandas Project Files Link.html	HTML	180 B
3. Quiz.html	HTML	205 B

8. Series Structures in the Pandas Library

1. Creating a Pandas Series with a List.mp4	MP4	39.2 MB
2. Creating a Pandas Series with a Dictionary.mp4	MP4	18.29 MB
3. Creating Pandas Series with NumPy Array.mp4	MP4	11.96 MB
4. Object Types in Series.mp4	MP4	19.55 MB
5. Examining the Primary Features of the Pandas Seri.mp4	MP4	18.93 MB
6. Most Applied Methods on Pandas Series.mp4	MP4	48.19 MB
7. Indexing and Slicing Pandas Series.mp4	MP4	29.91 MB
8. Quiz.html	HTML	205 B

9. DataFrame Structures in Pandas Library

1. Creating Pandas DataFrame with List.mp4	MP4	22.56 MB
2. Creating Pandas DataFrame with NumPy Array.mp4	MP4	12.1 MB
3. Creating Pandas DataFrame with Dictionary.mp4	MP4	15.83 MB
4. Examining the Properties of Pandas DataFrames.mp4	MP4	25.95 MB
5. Quiz.html	HTML	205 B

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Udemy-Machine Learning & Data Science with Python, Kaggle & Pandas.2023.VO.WEBrip.720p.x264

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