Machine Learning Data Science with Python Kaggle Pandas | 2573DF0A2B891C606621FA656140359C74749838

Machine Learning Data Science with Python Kaggle Pandas

Name	Machine Learning & Data Science with Python, Kaggle & Pandas	DOWNLOAD Copy Link
Total Size	9.8 GB
Total Files	463
Last Seen	2025-01-04 23:39
Hash	2573DF0A2B891C606621FA656140359C74749838

/.../35. Competition Section on Kaggle/
2. Competitions on Kaggle Lesson 2.mp4	201.0 MB
3. Quiz.html	0.2 KB
1. Competitions on Kaggle Lesson 1.mp4	197.3 MB
/
TutsNode.net.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../41. Introduction to Machine Learning with Real Hearth Attack Prediction Project/
2. FAQ about Machine Learning, Data Science.html	15.7 KB
7. Quiz.html	0.2 KB
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html	0.1 KB
6. Recognizing Variables In Dataset.mp4	133.0 MB
1. First Step to the Project.mp4	122.9 MB
3. Notebook Design to be Used in the Project.mp4	110.1 MB
5. Examining the Project Topic.mp4	80.2 MB
/1. Installations/
2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html	0.2 KB
4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html	4.3 KB
1. Installing Anaconda Distribution for Windows.mp4	124.1 MB
5. Installing Anaconda Distribution for Linux.mp4	120.4 MB
3. Installing Anaconda Distribution for MacOs.mp4	48.6 MB
/.../34. First Contact with Kaggle/
2. FAQ about Kaggle.html	11.2 KB
6. Quiz.html	0.2 KB
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html	0.1 KB
1. What is Kaggle.mp4	136.1 MB
5. Getting to Know the Kaggle Homepage.mp4	128.9 MB
3. Registering on Kaggle and Member Login Procedures.mp4	45.7 MB
/.../17. First Contact with Machine Learning/
5. FAQ regarding Machine Learning.html	6.8 KB
4. FAQ regarding Python.html	6.4 KB
3. Machine Learning Project Files.html	0.3 KB
1. What is Machine Learning.mp4	28.9 MB
2. Machine Learning Terminology.mp4	14.7 MB
/.../2. NumPy Library Introduction/
3. Quiz.html	0.2 KB
2. The Power of NumPy.mp4	62.8 MB
1. Introduction to NumPy Library.mp4	47.5 MB
/49. Extra/
1. Machine Learning & Data Science with Kaggle, Pandas , Numpy.html	0.3 KB
/.../3. Creating NumPy Array in Python/
10. Quiz.html	0.2 KB
8. Creating NumPy Array with Random() Function.mp4	45.4 MB
1. Creating NumPy Array with The Array() Function.mp4	30.9 MB
2. Creating NumPy Array with Zeros() Function.mp4	25.2 MB
9. Properties of NumPy Array.mp4	23.1 MB
3. Creating NumPy Array with Ones() Function.mp4	16.6 MB
6. Creating NumPy Array with Eye() Function.mp4	13.2 MB
5. Creating NumPy Array with Arange() Function.mp4	12.7 MB
4. Creating NumPy Array with Full() Function.mp4	11.7 MB
7. Creating NumPy Array with Linspace() Function.mp4	7.7 MB
/.../4. Functions in the NumPy Library/
8. Quiz.html	0.2 KB
4. Concatenating Numpy Arrays Concatenate() Function.mp4	40.2 MB
6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4	37.5 MB
1. Reshaping a NumPy Array Reshape() Function.mp4	27.4 MB
5. Splitting One-Dimensional Numpy Arrays The Split.mp4	21.9 MB
7. Sorting Numpy Arrays Sort() Function.mp4	17.9 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
/.../7. Pandas Library Introduction/
3. Quiz.html	0.2 KB
2. Pandas Project Files Link.html	0.2 KB
1. Introduction to Pandas Library.mp4	35.6 MB
/.../8. Series Structures in the Pandas Library/
8. Quiz.html	0.2 KB
6. Most Applied Methods on Pandas Series.mp4	50.5 MB
1. Creating a Pandas Series with a List.mp4	41.1 MB
7. Indexing and Slicing Pandas Series.mp4	31.4 MB
4. Object Types in Series.mp4	20.5 MB
5. Examining the Primary Features of the Pandas Seri.mp4	19.9 MB
2. Creating a Pandas Series with a Dictionary.mp4	19.2 MB
3. Creating Pandas Series with NumPy Array.mp4	12.5 MB
/.../9. DataFrame Structures in Pandas Library/
5. Quiz.html	0.2 KB
4. Examining the Properties of Pandas DataFrames.mp4	27.2 MB
1. Creating Pandas DataFrame with List.mp4	23.7 MB
3. Creating Pandas DataFrame with Dictionary.mp4	16.6 MB
2. Creating Pandas DataFrame with NumPy Array.mp4	12.7 MB
/.../10. Element Selection Operations in DataFrame Structures/
7. Quiz.html	0.2 KB
6. Element Selection with Conditional Operations in.mp4	48.6 MB
3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4	40.2 MB
2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4	33.4 MB
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4	32.9 MB
1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4	31.3 MB
5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4	23.2 MB
/.../11. Structural Operations on Pandas DataFrame/
7. Quiz.html	0.2 KB
3. Null Values in Pandas Dataframes.mp4	70.2 MB
5. Filling Null Values Fillna() Function.mp4	54.1 MB
6. Setting Index in Pandas DataFrames.mp4	41.6 MB
4. Dropping Null Values Dropna() Function.mp4	36.2 MB
1. Adding Columns to Pandas Data Frames.mp4	35.2 MB
2. Removing Rows and Columns from Pandas Data frames.mp4	16.3 MB
/.../12. Multi-Indexed DataFrame Structures/
4. Quiz.html	0.2 KB
1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4	44.7 MB
3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4	32.8 MB
2. Element Selection in Multi-Indexed DataFrames.mp4	25.8 MB
/.../13. Structural Concatenation Operations in Pandas DataFrame/
7. Quiz.html	0.2 KB
1. Concatenating Pandas Dataframes Concat Function.mp4	67.0 MB
4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4	63.1 MB
2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4	60.1 MB
6. Joining Pandas Dataframes Join() Function.mp4	58.8 MB
5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4	42.7 MB
3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4	32.0 MB
/.../14. Functions That Can Be Applied on a DataFrame/
10. Quiz.html	0.2 KB
3. Aggregation Functions in Pandas DataFrames.mp4	95.1 MB
5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4	92.4 MB
8. Advanced Aggregation Functions Transform() Function.mp4	49.4 MB
4. Examining the Data Set 2.mp4	48.8 MB
2. Examining the Data Set 1.mp4	45.0 MB
9. Advanced Aggregation Functions Apply() Function.mp4	43.4 MB
1. Loading a Dataset from the Seaborn Library.mp4	39.6 MB
6. Advanced Aggregation Functions Aggregate() Function.mp4	30.7 MB
7. Advanced Aggregation Functions Filter() Function.mp4	25.7 MB
/.../15. Pivot Tables in Pandas Library/
3. Quiz.html	0.2 KB
2. Pivot Tables in Pandas Library.mp4	56.9 MB
1. Examining the Data Set 3.mp4	41.0 MB
/.../16. File Operations in Pandas Library/
6. Quiz.html	0.2 KB
2. Data Entry with Csv and Txt Files.mp4	67.5 MB
4. Outputting as an CSV Extension.mp4	37.4 MB
1. Accessing and Making Files Available.mp4	36.3 MB
3. Data Entry with Excel Files.mp4	22.9 MB
5. Outputting as an Excel File.mp4	20.7 MB
/.../18. Evaluation Metrics in Machine Learning/
5. Quiz.html	0.2 KB
2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4	105.2 MB
4. Machine Learning With Python.mp4	96.7 MB
3. Evaluating Performance Regression Error Metrics in Python.mp4	47.9 MB
1. Classification vs Regression in Machine Learning.mp4	20.9 MB
/.../19. Supervised Learning with Machine Learning/
2. Quiz.html	0.2 KB
1. What is Supervised Learning in Machine Learning.mp4	33.2 MB
/.../21. Bias Variance Trade-Off in Machine Learning/
2. Quiz.html	0.2 KB
1. What is Bias Variance Trade-Off.mp4	57.7 MB
/.../22. Logistic Regression Algorithm in Machine Learning A-Z/
7. Quiz.html	0.2 KB
3. Logistic Regression Algorithm with Python Part 2.mp4	85.4 MB
2. Logistic Regression Algorithm with Python Part 1.mp4	75.7 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
4. Logistic Regression Algorithm with Python Part 3.mp4	36.5 MB
1. What is Logistic Regression Algorithm in Machine Learning.mp4	29.2 MB
/.../24. K Nearest Neighbors Algorithm in Machine Learning A-Z/
5. Quiz.html	0.2 KB
3. K Nearest Neighbors Algorithm with Python Part 2.mp4	62.3 MB
2. K Nearest Neighbors Algorithm with Python Part 1.mp4	36.8 MB
4. K Nearest Neighbors Algorithm with Python Part 3.mp4	32.9 MB
1. K Nearest Neighbors Algorithm Theory.mp4	30.1 MB
/.../26. Decision Tree Algorithm in Machine Learning A-Z/
7. Quiz.html	0.2 KB
3. Decision Tree Algorithm with Python Part 2.mp4	51.3 MB
5. Decision Tree Algorithm with Python Part 4.mp4	44.6 MB
1. Decision Tree Algorithm Theory.mp4	37.5 MB
6. Decision Tree Algorithm with Python Part 5.mp4	34.3 MB
2. Decision Tree Algorithm with Python Part 1.mp4	33.1 MB
4. Decision Tree Algorithm with Python Part 3.mp4	15.4 MB
/.../28. Support Vector Machine Algorithm in Machine Learning A-Z/
6. Quiz.html	0.2 KB
4. Support Vector Machine Algorithm with Python Part 3.mp4	49.6 MB
3. Support Vector Machine Algorithm with Python Part 2.mp4	43.7 MB
5. Support Vector Machine Algorithm with Python Part 4.mp4	39.4 MB
2. Support Vector Machine Algorithm with Python Part 1.mp4	37.3 MB
1. Support Vector Machine Algorithm Theory.mp4	22.9 MB
/.../29. Unsupervised Learning with Machine Learning/
2. Quiz.html	0.2 KB
1. Unsupervised Learning Overview.mp4	17.7 MB
/.../30. K Means Clustering Algorithm in Machine Learning A-Z/
6. Quiz.html	0.2 KB
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
5. K Means Clustering Algorithm with Python Part 4.mp4	30.4 MB
4. K Means Clustering Algorithm with Python Part 3.mp4	29.1 MB
1. K Means Clustering Algorithm Theory.mp4	18.0 MB
/.../31. Hierarchical Clustering Algorithm in machine learning data science/
4. Quiz.html	0.2 KB
2. Hierarchical Clustering Algorithm with Python Part 1.mp4	37.2 MB
3. Hierarchical Clustering Algorithm with Python Part 2.mp4	30.3 MB
1. Hierarchical Clustering Algorithm Theory.mp4	30.0 MB
/.../33. Recommender System Algorithm in Machine Learning A-Z/
3. Quiz.html	0.2 KB
1. What is the Recommender System Part 1.mp4	24.1 MB
2. What is the Recommender System Part 2.mp4	18.8 MB
/.../36. Dataset Section on Kaggle/
2. Quiz.html	0.2 KB
1. Datasets on Kaggle.mp4	139.7 MB
/.../37. Code Section on Kaggle/
4. Quiz.html	0.2 KB
3. Examining the Code Section in Kaggle Lesson 3.mp4	167.6 MB
2. Examining the Code Section in Kaggle Lesson 2.mp4	110.9 MB
1. Examining the Code Section in Kaggle Lesson 1.mp4	83.4 MB
/.../38. Discussion Section on Kaggle/
2. Quiz.html	0.2 KB
1. What is Discussion on Kaggle.mp4	42.6 MB
/.../39. Other Most Used Options on Kaggle/
4. Quiz.html	0.2 KB
2. Ranking Among Users on Kaggle.mp4	112.2 MB
1. Courses in Kaggle.mp4	54.7 MB
3. Blog and Documentation Sections.mp4	42.9 MB
/.../40. Details on Kaggle/
5. Quiz.html	0.2 KB
1. User Page Review on Kaggle.mp4	85.5 MB
2. Treasure in The Kaggle.mp4	78.3 MB
4. What Should Be Done to Achieve Success in Kaggle.mp4	61.3 MB
3. Publishing Notebooks on Kaggle.mp4	40.1 MB
/.../42. First Organization/
4. Quiz.html	0.2 KB
3. Initial analysis on the dataset.mp4	67.1 MB
1. Required Python Libraries.mp4	66.7 MB
2. Loading the Dataset.mp4	10.5 MB
/.../43. Preparation For Exploratory Data Analysis (EDA)/
5. Quiz.html	0.2 KB
4. Examining Statistics of Variables.mp4	95.8 MB
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
/.../44. Exploratory Data Analysis (EDA) - Uni-variate Analysis/
6. Quiz.html	0.2 KB
4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4	88.1 MB
1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4	84.3 MB
3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4	78.4 MB
5. Examining the Missing Data According to the Analysis Result.mp4	56.4 MB
2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4	20.7 MB
/.../45. Exploratory Data Analysis (EDA) - Bi-variate Analysis/
15. Quiz.html	0.2 KB
14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4	95.1 MB
10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4	71.4 MB
4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4	59.0 MB
8. Creating a New DataFrame with the Melt() Function.mp4	55.5 MB
1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4	51.7 MB
6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4	49.4 MB
9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4	43.7 MB
11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4	39.9 MB
13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4	38.1 MB
2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4	37.4 MB
12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4	37.2 MB
7. Feature Scaling with the Robust Scaler Method.mp4	36.9 MB
5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4	29.7 MB
3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4	25.3 MB
/.../46. Preparation for Modelling in Machine Learning/
12. Quiz.html	0.2 KB
4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4	46.0 MB
3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4	44.9 MB
5. Dealing with Outliers – Thalach Variable.mp4	38.0 MB
6. Dealing with Outliers – Oldpeak Variable.mp4	37.8 MB
2. Visualizing Outliers.mp4	36.6 MB
11. Separating Data into Test and Training Set.mp4	31.2 MB
1. Dropping Columns with Low Correlation.mp4	28.1 MB
7. Determining Distributions of Numeric Variables.mp4	26.4 MB
9. Applying One Hot Encoding Method to Categorical Variables.mp4	25.3 MB
8. Transformation Operations on Unsymmetrical Data.mp4	25.2 MB
10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4	12.0 MB
/.../47. Modelling for machine learning/
9. Quiz.html	0.2 KB
4. Hyperparameter Optimization (with GridSearchCV).mp4	61.6 MB
8. Hyperparameter Optimization (with GridSearchCV).mp4	55.2 MB
3. Roc Curve and Area Under Curve (AUC).mp4	43.7 MB
2. Cross Validation.mp4	31.7 MB
7. Random Forest Algorithm.mp4	31.2 MB
1. Logistic Regression.mp4	30.8 MB
5. Decision Tree Algorithm.mp4	26.9 MB
6. Support Vector Machine Algorithm.mp4	25.7 MB
/48. Conclusion/
2. Quiz.html	0.2 KB
1. Project Conclusion and Sharing.mp4	30.0 MB
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/.../20. Linear Regression Algorithm in Machine Learning A-Z/
3. Linear Regression Algorithm With Python Part 2.mp4	112.1 MB
5. Linear Regression Algorithm With Python Part 4.mp4	94.4 MB
2. Linear Regression Algorithm With Python Part 1.mp4	79.9 MB
4. Linear Regression Algorithm With Python Part 3.mp4	73.7 MB
1. Linear Regression Algorithm Theory in Machine Learning A-Z.mp4	35.7 MB
/.../6. Operations in Numpy Library/
2. Arithmetic Operations in Numpy.mp4	75.4 MB
3. Statistical Operations in Numpy.mp4	33.5 MB
4. Solving Second-Degree Equations with NumPy.mp4	25.4 MB
1. Operations with Comparison Operators.mp4	22.2 MB
/.../25. Hyperparameter Optimization/
2. Hyperparameter Optimization with Python.mp4	49.8 MB
1. Hyperparameter Optimization Theory.mp4	34.8 MB
/.../5. Indexing, Slicing, and Assigning NumPy Arrays/
7. Fancy Indexing of Two-Dimensional Arrrays.mp4	47.9 MB
5. Assigning Value to Two-Dimensional Array.mp4	37.1 MB
3. Slicing Two-Dimensional Numpy Arrays.mp4	35.9 MB
1. Indexing Numpy Arrays.mp4	27.9 MB
2. Slicing One-Dimensional Numpy Arrays.mp4	23.4 MB
6. Fancy Indexing of One-Dimensional Arrrays.mp4	21.5 MB
4. Assigning Value to One-Dimensional Arrays.mp4	19.1 MB
9. Combining Fancy Index with Normal Slicing.mp4	17.3 MB
8. Combining Fancy Index with Normal Indexing.mp4	13.3 MB
/.../27. Random Forest Algorithm in Machine Learning A-Z/
3. Random Forest Algorithm with Pyhon Part 2.mp4	40.6 MB
2. Random Forest Algorithm with Pyhon Part 1.mp4	40.5 MB
1. Random Forest Algorithm Theory.mp4	24.0 MB
/.../32. Principal Component Analysis (PCA) in Machine Learning A-Z/
1. Principal Component Analysis (PCA) Theory.mp4	39.8 MB
4. Principal Component Analysis (PCA) with Python Part 3.mp4	39.1 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
/.../23. K-fold Cross-Validation in Machine Learning A-Z/
2. K-Fold Cross-Validation with Python.mp4	36.3 MB
1. K-Fold Cross-Validation Theory.mp4	18.3 MB
Total files 463