FreeCourseSite com Udemy Complete Data Science Machine Learning with Python

FreeCourseSite com Udemy Complete Data Science Machine Learning with Python

Name	[FreeCourseSite.com] Udemy - Complete Data Science & Machine Learning A-Z with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	11.3 GB
Total Files	307
Last Seen	2025-04-06 00:34
Hash	995E52C707E965713E15F8BE5A94177580E2717E

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/1. Installations/
1. Installing Anaconda Distribution for Windows.mp4	124.1 MB
2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html	0.2 KB
3. Installing Anaconda Distribution for MacOs.mp4	48.6 MB
4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html	4.3 KB
5. Installing Anaconda Distribution for Linux.mp4	120.3 MB
/10. Element Selection Operations in DataFrame Structures/
1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4	31.3 MB
2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4	33.4 MB
3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4	40.1 MB
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4	32.9 MB
5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4	23.2 MB
6. Element Selection with Conditional Operations in.mp4	48.6 MB
7. Quiz.html	0.2 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/11. Structural Operations on Pandas DataFrame/
1. Adding Columns to Pandas Data Frames.mp4	35.2 MB
2. Removing Rows and Columns from Pandas Data frames.mp4	16.3 MB
3. Null Values in Pandas Dataframes.mp4	70.2 MB
4. Dropping Null Values Dropna() Function.mp4	36.2 MB
5. Filling Null Values Fillna() Function.mp4	54.1 MB
6. Setting Index in Pandas DataFrames.mp4	41.6 MB
7. Quiz.html	0.2 KB
/12. Multi-Indexed DataFrame Structures/
1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4	44.7 MB
2. Element Selection in Multi-Indexed DataFrames.mp4	25.8 MB
3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4	32.8 MB
4. Quiz.html	0.2 KB
/13. Structural Concatenation Operations in Pandas DataFrame/
1. Concatenating Pandas Dataframes Concat Function.mp4	66.9 MB
2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4	60.1 MB
3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4	32.0 MB
4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4	63.1 MB
5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4	42.7 MB
6. Joining Pandas Dataframes Join() Function.mp4	58.8 MB
7. Quiz.html	0.2 KB
/14. Functions That Can Be Applied on a DataFrame/
1. Loading a Dataset from the Seaborn Library.mp4	39.6 MB
10. Quiz.html	0.2 KB
2. Examining the Data Set 1.mp4	45.0 MB
3. Aggregation Functions in Pandas DataFrames.mp4	95.1 MB
4. Examining the Data Set 2.mp4	48.8 MB
5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4	92.4 MB
6. Advanced Aggregation Functions Aggregate() Function.mp4	30.6 MB
7. Advanced Aggregation Functions Filter() Function.mp4	25.6 MB
8. Advanced Aggregation Functions Transform() Function.mp4	49.4 MB
9. Advanced Aggregation Functions Apply() Function.mp4	43.4 MB
/15. Pivot Tables in Pandas Library/
1. Examining the Data Set 3.mp4	41.0 MB
2. Pivot Tables in Pandas Library.mp4	56.9 MB
3. Quiz.html	0.2 KB
/16. File Operations in Pandas Library/
1. Accessing and Making Files Available.mp4	36.3 MB
2. Data Entry with Csv and Txt Files.mp4	67.5 MB
3. Data Entry with Excel Files.mp4	22.9 MB
4. Outputting as an CSV Extension.mp4	37.4 MB
5. Outputting as an Excel File.mp4	20.7 MB
6. Quiz.html	0.2 KB
/17. Code Files And Resources Python data analysis and visualization/
1. Data Visualisation - Matplotlib Files.html	0.2 KB
2. Data Visualisation - Seaborn Files.html	0.2 KB
3. Data Visualisation - Geoplotlib.html	0.2 KB
/18. Introduction to Data Visualization with Python/
1. Introduction to Data Visualization with Python.mp4	13.5 MB
2. FAQ regarding Data Visualization, Python.html	8.8 KB
/19. Fundamentals of Python 3/
1. Data Types in Python.mp4	49.4 MB
10. Exercise - Solution in Python.mp4	54.4 MB
11. Quiz.html	0.2 KB
2. Operators in Python.mp4	37.4 MB
3. Conditionals in Python.mp4	43.2 MB
4. Loops in Python.mp4	61.7 MB
5. Lists, Tuples, Dictionaries and Sets in pyhton.mp4	79.0 MB
6. Data Type Operators and Methods in Python.mp4	46.0 MB
7. Modules in Python.mp4	25.1 MB
8. Functions in Python.mp4	30.3 MB
9. Exercise - Analyse in Python.mp4	8.9 MB
/2. NumPy Library Introduction/
1. Introduction to NumPy Library.mp4	47.5 MB
2. The Power of NumPy.mp4	62.8 MB
3. Quiz.html	0.2 KB
/20. Object Oriented Programming (OOP)/
1. Logic of Object Oriented Programming.mp4	18.2 MB
2. Constructor in Object Oriented Programming (OOP).mp4	37.6 MB
3. Methods in Object Oriented Programming (OOP).mp4	26.3 MB
4. Inheritance in Object Oriented Programming (OOP).mp4	36.3 MB
5. Overriding and Overloading in Object Oriented Programming (OOP).mp4	65.7 MB
6. Quiz.html	0.2 KB
/21. Matplotlib/
1. What is Matplotlib.mp4	20.0 MB
10. Quiz.html	0.2 KB
2. Using Pyplot.mp4	29.6 MB
3. Pyplot – Pylab - Matplotlib.mp4	29.8 MB
4. Figure, Subplot and Axex.mp4	73.3 MB
5. Figure Customization.mp4	66.4 MB
6. Plot Customization.mp4	28.7 MB
7. Grid, Spines, Ticks.mp4	25.0 MB
8. Basic Plots in Matplotlib I.mp4	116.6 MB
9. Basic Plots in Matplotlib II.mp4	57.5 MB
/22. Seaborn/
1. What is Seaborn.mp4	14.3 MB
2. Controlling Figure Aesthetics in Seaborn.mp4	43.8 MB
3. Example in Seaborn.mp4	57.6 MB
4. Color Palettes in Seaborn.mp4	50.7 MB
5. Basic Plots in Seaborn.mp4	103.6 MB
6. Multi-Plots in Seaborn.mp4	45.1 MB
7. Regression Plots and Squarify in Seaborn.mp4	63.0 MB
8. Quiz.html	0.2 KB
/23. Geoplotlib/
1. What is Geoplotlib.mp4	35.8 MB
2. Example - 1.mp4	40.7 MB
3. Example - 2.mp4	85.1 MB
4. Example - 3.mp4	53.8 MB
5. Quiz.html	0.2 KB
/24. First Contact with Machine Learning/
1. What is Machine Learning.mp4	28.9 MB
2. Machine Learning Terminology.mp4	14.7 MB
3. Machine Learning Project Files.html	0.3 KB
4. FAQ regarding Python.html	6.4 KB
5. FAQ regarding Machine Learning.html	6.8 KB
6. Quiz.html	0.2 KB
/25. Evaluation Metrics in Machine Learning/
1. Classification vs Regression in Machine Learning.mp4	20.9 MB
2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4	105.1 MB
3. Evaluating Performance Regression Error Metrics in Python.mp4	47.9 MB
4. Machine Learning With Python.mp4	96.7 MB
5. Quiz.html	0.2 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/26. Supervised Learning with Machine Learning/
1. What is Supervised Learning in Machine Learning.mp4	33.2 MB
2. Quiz.html	0.2 KB
/27. Linear Regression Algorithm in Machine Learning A-Z/
1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp4	35.7 MB
2. Linear Regression Algorithm With Python Part 1.mp4	79.9 MB
3. Linear Regression Algorithm With Python Part 2.mp4	112.1 MB
4. Linear Regression Algorithm With Python Part 3.mp4	73.7 MB
5. Linear Regression Algorithm With Python Part 4.mp4	94.4 MB
/28. Bias Variance Trade-Off in Machine Learning/
1. What is Bias Variance Trade-Off.mp4	57.7 MB
2. Quiz.html	0.2 KB
/29. Logistic Regression Algorithm in Machine Learning A-Z/
1. What is Logistic Regression Algorithm in Machine Learning.mp4	29.2 MB
2. Logistic Regression Algorithm with Python Part 1.mp4	75.7 MB
3. Logistic Regression Algorithm with Python Part 2.mp4	85.4 MB
4. Logistic Regression Algorithm with Python Part 3.mp4	49.6 MB
5. Logistic Regression Algorithm with Python Part 4.mp4	49.5 MB
6. Logistic Regression Algorithm with Python Part 5.mp4	41.3 MB
7. Quiz.html	0.2 KB
/3. Creating NumPy Array in Python/
1. Creating NumPy Array with The Array() Function.mp4	30.9 MB
10. Quiz.html	0.2 KB
2. Creating NumPy Array with Zeros() Function.mp4	25.2 MB
3. Creating NumPy Array with Ones() Function.mp4	16.7 MB
4. Creating NumPy Array with Full() Function.mp4	11.7 MB
5. Creating NumPy Array with Arange() Function.mp4	12.7 MB
6. Creating NumPy Array with Eye() Function.mp4	13.2 MB
7. Creating NumPy Array with Linspace() Function.mp4	7.7 MB
8. Creating NumPy Array with Random() Function.mp4	45.4 MB
9. Properties of NumPy Array.mp4	23.0 MB
/30. K-fold Cross-Validation in Machine Learning A-Z/
1. K-Fold Cross-Validation Theory.mp4	18.3 MB
2. K-Fold Cross-Validation with Python.mp4	36.3 MB
/31. K Nearest Neighbors Algorithm in Machine Learning A-Z/
1. K Nearest Neighbors Algorithm Theory.mp4	30.0 MB
2. K Nearest Neighbors Algorithm with Python Part 1.mp4	36.7 MB
3. K Nearest Neighbors Algorithm with Python Part 2.mp4	62.3 MB
4. K Nearest Neighbors Algorithm with Python Part 3.mp4	32.9 MB
5. Quiz.html	0.2 KB
/32. Hyperparameter Optimization/
1. Hyperparameter Optimization Theory.mp4	34.7 MB
2. Hyperparameter Optimization with Python.mp4	49.8 MB
/33. Decision Tree Algorithm in Machine Learning A-Z/
1. Decision Tree Algorithm Theory.mp4	37.5 MB
2. Decision Tree Algorithm with Python Part 1.mp4	33.1 MB
3. Decision Tree Algorithm with Python Part 2.mp4	51.3 MB
4. Decision Tree Algorithm with Python Part 3.mp4	15.4 MB
5. Decision Tree Algorithm with Python Part 4.mp4	44.6 MB
6. Decision Tree Algorithm with Python Part 5.mp4	34.3 MB
7. Quiz.html	0.2 KB
/34. Random Forest Algorithm in Machine Learning A-Z/
1. Random Forest Algorithm Theory.mp4	24.0 MB
2. Random Forest Algorithm with Pyhon Part 1.mp4	40.5 MB
3. Random Forest Algorithm with Pyhon Part 2.mp4	40.6 MB
/35. Support Vector Machine Algorithm in Machine Learning A-Z/
1. Support Vector Machine Algorithm Theory.mp4	22.9 MB
2. Support Vector Machine Algorithm with Python Part 1.mp4	37.3 MB
3. Support Vector Machine Algorithm with Python Part 2.mp4	43.7 MB
4. Support Vector Machine Algorithm with Python Part 3.mp4	36.5 MB
5. Support Vector Machine Algorithm with Python Part 4.mp4	39.4 MB
6. Quiz.html	0.2 KB
/36. Unsupervised Learning with Machine Learning/
1. Unsupervised Learning Overview.mp4	17.7 MB
/37. K Means Clustering Algorithm in Machine Learning A-Z/
1. K Means Clustering Algorithm Theory.mp4	18.0 MB
2. K Means Clustering Algorithm with Python Part 1.mp4	31.4 MB
3. K Means Clustering Algorithm with Python Part 2.mp4	31.1 MB
4. K Means Clustering Algorithm with Python Part 3.mp4	29.1 MB
5. K Means Clustering Algorithm with Python Part 4.mp4	30.4 MB
6. Quiz.html	0.2 KB
/38. Hierarchical Clustering Algorithm in machine learning data science/
1. Hierarchical Clustering Algorithm Theory.mp4	29.9 MB
2. Hierarchical Clustering Algorithm with Python Part 2.mp4	37.2 MB
3. Hierarchical Clustering Algorithm with Python Part 2.mp4	30.3 MB
/39. Principal Component Analysis (PCA) in Machine Learning A-Z/
1. Principal Component Analysis (PCA) Theory.mp4	39.8 MB
2. Principal Component Analysis (PCA) with Python Part 1.mp4	27.3 MB
3. Principal Component Analysis (PCA) with Python Part 2.mp4	8.8 MB
4. Principal Component Analysis (PCA) with Python Part 3.mp4	39.1 MB
/4. Functions in the NumPy Library/
1. Reshaping a NumPy Array Reshape() Function.mp4	27.4 MB
2. Identifying the Largest Element of a Numpy Array.mp4	15.9 MB
3. Detecting Least Element of Numpy Array Min(), Ar.mp4	10.7 MB
4. Concatenating Numpy Arrays Concatenate() Functio.mp4	40.2 MB
5. Splitting One-Dimensional Numpy Arrays The Split.mp4	21.9 MB
6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4	37.5 MB
7. Sorting Numpy Arrays Sort() Function.mp4	17.8 MB
8. Quiz.html	0.2 KB
/40. Recommender System Algorithm in Machine Learning A-Z/
1. What is the Recommender System Part 1.mp4	24.2 MB
2. What is the Recommender System Part 2.mp4	18.8 MB
/41. First Contact with Kaggle/
1. What is Kaggle.mp4	136.0 MB
2. FAQ about Kaggle.html	11.2 KB
3. Registering on Kaggle and Member Login Procedures.mp4	45.6 MB
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html	0.1 KB
5. Getting to Know the Kaggle Homepage.mp4	128.9 MB
6. quiz.html	0.2 KB
/42. Competition Section on Kaggle/
1. Competitions on Kaggle Lesson 1.mp4	197.3 MB
2. Competitions on Kaggle Lesson 2.mp4	201.0 MB
/43. Dataset Section on Kaggle/
1. Datasets on Kaggle.mp4	139.7 MB
2. Quiz.html	0.2 KB
/44. Code Section on Kaggle/
1. Examining the Code Section in Kaggle Lesson 1.mp4	83.4 MB
2. Examining the Code Section in Kaggle Lesson 2.mp4	111.0 MB
3. Examining the Code Section in Kaggle Lesson 3.mp4	167.7 MB
4. Quiz.html	0.2 KB
/45. Discussion Section on Kaggle/
1. What is Discussion on Kaggle.mp4	42.6 MB
2. Quiz.html	0.2 KB
/46. Other Most Used Options on Kaggle/
1. Courses in Kaggle.mp4	54.7 MB
2. Ranking Among Users on Kaggle.mp4	112.2 MB
3. Blog and Documentation Sections.mp4	42.8 MB
4. Quiz.html	0.2 KB
/47. Details on Kaggle/
1. User Page Review on Kaggle.mp4	85.5 MB
2. Treasure in The Kaggle.mp4	78.3 MB
3. Publishing Notebooks on Kaggle.mp4	40.1 MB
4. What Should Be Done to Achieve Success in Kaggle.mp4	61.3 MB
5. Quiz.html	0.2 KB
/48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/
1. First Step to the Hearth Attack Prediction Project.mp4	122.8 MB
2. FAQ about Machine Learning, Data Science.html	15.7 KB
3. Notebook Design to be Used in the Project.mp4	110.0 MB
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html	0.1 KB
5. Examining the Project Topic.mp4	80.2 MB
6. Recognizing Variables In Dataset.mp4	133.0 MB
7. Quiz.html	0.2 KB
/49. First Organization/
1. Required Python Libraries.mp4	66.6 MB
2. Loading the Statistics Dataset in Data Science.mp4	10.5 MB
3. Initial analysis on the dataset.mp4	67.1 MB
4. Quiz.html	0.2 KB
/5. Indexing, Slicing, and Assigning NumPy Arrays/
1. Indexing Numpy Arrays,.mp4	27.8 MB
2. Slicing One-Dimensional Numpy Arrays.mp4	23.4 MB
3. Slicing Two-Dimensional Numpy Arrays.mp4	35.9 MB
4. Assigning Value to One-Dimensional Arrays.mp4	19.1 MB
5. Assigning Value to Two-Dimensional Array.mp4	37.1 MB
6. Fancy Indexing of One-Dimensional Arrrays.mp4	21.5 MB
7. Fancy Indexing of Two-Dimensional Arrrays.mp4	48.0 MB
8. Combining Fancy Index with Normal Indexing.mp4	13.3 MB
9. Combining Fancy Index with Normal Slicing.mp4	17.3 MB
/50. Preparation For Exploratory Data Analysis (EDA) in Data Science/
1. Examining Missing Values.mp4	48.0 MB
2. Examining Unique Values.mp4	46.7 MB
3. Separating variables (Numeric or Categorical).mp4	16.6 MB
4. Examining Statistics of Variables.mp4	95.8 MB
5. Quiz.html	0.2 KB
/51. Exploratory Data Analysis (EDA) - Uni-variate Analysis/
1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4	84.3 MB
2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4	20.7 MB
3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4	78.4 MB
4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4	88.1 MB
5. Examining the Missing Data According to the Analysis Result.mp4	56.4 MB
6. Quiz.html	0.2 KB
/52. Exploratory Data Analysis (EDA) - Bi-variate Analysis/
1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4	51.8 MB
10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4	71.4 MB
11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4	39.9 MB
12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4	37.2 MB
13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4	38.1 MB
14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4	95.1 MB
15. Quiz.html	0.2 KB
2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4	37.4 MB
3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4	25.3 MB
4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4	59.0 MB
5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4	29.7 MB
6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4	49.4 MB
7. Feature Scaling with the Robust Scaler Method.mp4	36.9 MB
8. Creating a New DataFrame with the Melt() Function.mp4	55.5 MB
9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4	43.7 MB
/53. Preparation for Modelling in Machine Learning/
1. Dropping Columns with Low Correlation.mp4	28.1 MB
10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4	12.0 MB
11. Separating Data into Test and Training Set.mp4	31.2 MB
12. Quiz.html	0.2 KB
2. Visualizing Outliers.mp4	36.6 MB
3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4	44.9 MB
4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4	46.0 MB
5. Dealing with Outliers – Thalach Variable.mp4	38.0 MB
6. Dealing with Outliers – Oldpeak Variable.mp4	37.8 MB
7. Determining Distributions of Numeric Variables.mp4	26.4 MB
8. Transformation Operations on Unsymmetrical Data.mp4	25.2 MB
9. Applying One Hot Encoding Method to Categorical Variables.mp4	25.3 MB
/54. Modelling for Machine Learning/
1. Logistic Regression.mp4	30.8 MB
2. Cross Validation.mp4	31.7 MB
3. Roc Curve and Area Under Curve (AUC).mp4	43.7 MB
4. Hyperparameter Optimization (with GridSearchCV).mp4	61.6 MB
5. Decision Tree Algorithm.mp4	27.0 MB
6. Support Vector Machine Algorithm.mp4	25.7 MB
7. Random Forest Algorithm.mp4	31.2 MB
8. Hyperparameter Optimization (with GridSearchCV).mp4	55.2 MB
9. Quiz.html	0.2 KB
/55. Conclusion/
1. Project Conclusion and Sharing.mp4	30.1 MB
2. Quiz.html	0.2 KB
/56. Extra/
1. Complete Data Science & Machine Learning A-Z with Python.html	0.3 KB
/6. Operations in Numpy Library/
1. Operations with Comparison Operators.mp4	22.2 MB
2. Arithmetic Operations in Numpy.mp4	75.3 MB
3. Statistical Operations in Numpy.mp4	33.6 MB
4. Solving Second-Degree Equations with NumPy.mp4	25.4 MB
/7. Pandas Library Introduction/
1. Introduction to Pandas Library.mp4	35.6 MB
2. Pandas Project Files Link.html	0.2 KB
3. Quiz.html	0.2 KB
/8. Series Structures in the Pandas Library/
1. Creating a Pandas Series with a List.mp4	41.1 MB
2. Creating a Pandas Series with a Dictionary.mp4	19.2 MB
3. Creating Pandas Series with NumPy Array.mp4	12.6 MB
4. Object Types in Series.mp4	20.5 MB
5. Examining the Primary Features of the Pandas Seri.mp4	19.9 MB
6. Most Applied Methods on Pandas Series.mp4	50.6 MB
7. Indexing and Slicing Pandas Series.mp4	31.3 MB
8. Quiz.html	0.2 KB
/9. DataFrame Structures in Pandas Library/
1. Creating Pandas DataFrame with List.mp4	23.7 MB
2. Creating Pandas DataFrame with NumPy Array.mp4	12.7 MB
3. Creating Pandas DataFrame with Dictionary.mp4	16.6 MB
4. Examining the Properties of Pandas DataFrames.mp4	27.2 MB
5. Quiz.html	0.2 KB
Total files 307