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download скачать Free download скачать : Udemy Machine Learning and Data Science with Python Kaggle and Pandas
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:9.01 GB

Files Included :

1  Installing Anaconda Distribution for Windows.mp4 (118.3 MB)
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3  Installing Anaconda Distribution for MacOs.mp4 (46.34 MB)
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5  Installing Anaconda Distribution for Linux.mp4 (114.79 MB)
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1  Element Selection Operations in Pandas DataFrames Lesson 1.mp4 (29.88 MB)
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2  Element Selection Operations in Pandas DataFrames Lesson 2.mp4 (31.83 MB)
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3  Top Level Element Selection in Pandas DataFramesLesson 1.mp4 (38.31 MB)
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4  Top Level Element Selection in Pandas DataFramesLesson 2.mp4 (31.42 MB)
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5  Top Level Element Selection in Pandas DataFramesLesson 3.mp4 (22.08 MB)
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6  Element Selection with Conditional Operations in.mp4 (46.37 MB)
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1  Adding Columns to Pandas Data Frames.mp4 (33.58 MB)
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2  Removing Rows and Columns from Pandas Data frames.mp4 (15.57 MB)
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3  Null Values in Pandas Dataframes.mp4 (66.95 MB)
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4  Dropping Null Values Dropna() Function.mp4 (34.53 MB)
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5  Filling Null Values Fillna() Function.mp4 (51.61 MB)
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6  Setting Index in Pandas DataFrames.mp4 (39.7 MB)
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1  Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 (42.66 MB)
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2  Element Selection in Multi-Indexed DataFrames.mp4 (24.59 MB)
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3  Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 (31.28 MB)
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1  Concatenating Pandas Dataframes Concat Function.mp4 (63.88 MB)
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2  Merge Pandas Dataframes Merge() Function Lesson 1.mp4 (57.3 MB)
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3  Merge Pandas Dataframes Merge() Function Lesson 2.mp4 (30.52 MB)
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4  Merge Pandas Dataframes Merge() Function Lesson 3.mp4 (60.14 MB)
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5  Merge Pandas Dataframes Merge() Function Lesson 4.mp4 (40.7 MB)
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6  Joining Pandas Dataframes Join() Function.mp4 (56.05 MB)
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1  Loading a Dataset from the Seaborn Library.mp4 (37.72 MB)
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2  Examining the Data Set 1.mp4 (42.88 MB)
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3  Aggregation Functions in Pandas DataFrames.mp4 (90.71 MB)
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4  Examining the Data Set 2.mp4 (46.57 MB)
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5  Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 (88.12 MB)
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6  Advanced Aggregation Functions Aggregate() Function.mp4 (29.23 MB)
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7  Advanced Aggregation Functions Filter() Function.mp4 (24.47 MB)
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8  Advanced Aggregation Functions Transform() Function.mp4 (47.1 MB)
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9  Advanced Aggregation Functions Apply() Function.mp4 (41.43 MB)
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1  Examining the Data Set 3.mp4 (39.12 MB)
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2  Pivot Tables in Pandas Library.mp4 (54.23 MB)
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1  Accessing and Making Files Available.mp4 (34.62 MB)
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2  Data Entry with Csv and Txt Files.mp4 (64.36 MB)
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3  Data Entry with Excel Files.mp4 (21.83 MB)
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4  Outputting as an CSV Extension.mp4 (35.71 MB)
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5  Outputting as an Excel File.mp4 (19.76 MB)
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1  What is Machine Learning.mp4 (27.58 MB)
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2  Machine Learning Terminology.mp4 (14.04 MB)
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1  Classification vs Regression in Machine Learning.mp4 (19.91 MB)
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2  Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 (100.29 MB)
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3  Evaluating Performance Regression Error Metrics in Python.mp4 (45.71 MB)
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4  Machine Learning With Python.mp4 (92.26 MB)
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1  What is Supervised Learning in Machine Learning.mp4 (31.69 MB)
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1  Introduction to NumPy Library.mp4 (45.3 MB)
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2  The Power of NumPy.mp4 (59.87 MB)
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1  Linear Regression Algorithm Theory in Machine Learning A-Z.mp4 (34.06 MB)
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2  Linear Regression Algorithm With Python Part 1.mp4 (76.18 MB)
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3  Linear Regression Algorithm With Python Part 2.mp4 (106.94 MB)
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4  Linear Regression Algorithm With Python Part 3.mp4 (70.28 MB)
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5  Linear Regression Algorithm With Python Part 4.mp4 (89.99 MB)
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1  What is Bias Variance Trade-Off.mp4 (55.04 MB)
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1  What is Logistic Regression Algorithm in Machine Learning.mp4 (27.84 MB)
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2  Logistic Regression Algorithm with Python Part 1.mp4 (72.23 MB)
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3  Logistic Regression Algorithm with Python Part 2.mp4 (81.46 MB)
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4  Logistic Regression Algorithm with Python Part 3.mp4 (34.78 MB)
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5  Logistic Regression Algorithm with Python Part 4.mp4 (47.16 MB)
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6  Logistic Regression Algorithm with Python Part 5.mp4 (39.36 MB)
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1  K-Fold Cross-Validation Theory.mp4 (17.46 MB)
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2  K-Fold Cross-Validation with Python.mp4 (34.66 MB)
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1  K Nearest Neighbors Algorithm Theory.mp4 (28.67 MB)
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2  K Nearest Neighbors Algorithm with Python Part 1.mp4 (35.05 MB)
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3  K Nearest Neighbors Algorithm with Python Part 2.mp4 (59.39 MB)
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4  K Nearest Neighbors Algorithm with Python Part 3.mp4 (31.39 MB)
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1  Hyperparameter Optimization Theory.mp4 (33.15 MB)
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2  Hyperparameter Optimization with Python.mp4 (47.47 MB)
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1  Decision Tree Algorithm Theory.mp4 (35.76 MB)
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2  Decision Tree Algorithm with Python Part 1.mp4 (31.54 MB)
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3  Decision Tree Algorithm with Python Part 2.mp4 (48.97 MB)
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4  Decision Tree Algorithm with Python Part 3.mp4 (14.71 MB)
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5  Decision Tree Algorithm with Python Part 4.mp4 (42.49 MB)
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6  Decision Tree Algorithm with Python Part 5.mp4 (32.68 MB)
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1  Random Forest Algorithm Theory.mp4 (22.89 MB)
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2  Random Forest Algorithm with Pyhon Part 1.mp4 (38.59 MB)
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3  Random Forest Algorithm with Pyhon Part 2.mp4 (38.74 MB)
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1  Support Vector Machine Algorithm Theory.mp4 (21.84 MB)
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2  Support Vector Machine Algorithm with Python Part 1.mp4 (35.56 MB)
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3  Support Vector Machine Algorithm with Python Part 2.mp4 (41.72 MB)
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4  Support Vector Machine Algorithm with Python Part 3.mp4 (47.35 MB)
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5  Support Vector Machine Algorithm with Python Part 4.mp4 (37.56 MB)
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1  Unsupervised Learning Overview.mp4 (16.92 MB)
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1  Creating NumPy Array with The Array() Function.mp4 (29.49 MB)
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2  Creating NumPy Array with Zeros() Function.mp4 (24.06 MB)
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3  Creating NumPy Array with Ones() Function.mp4 (15.84 MB)
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4  Creating NumPy Array with Full() Function.mp4 (11.19 MB)
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5  Creating NumPy Array with Arange() Function.mp4 (12.09 MB)
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6  Creating NumPy Array with Eye() Function.mp4 (12.57 MB)
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7  Creating NumPy Array with Linspace() Function.mp4 (7.34 MB)
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8  Creating NumPy Array with Random() Function.mp4 (43.3 MB)
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9  Properties of NumPy Array.mp4 (22.01 MB)
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1  K Means Clustering Algorithm Theory.mp4 (17.14 MB)
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2  K Means Clustering Algorithm with Python Part 1.mp4 (29.94 MB)
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3  K Means Clustering Algorithm with Python Part 2.mp4 (29.65 MB)
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4  K Means Clustering Algorithm with Python Part 3.mp4 (27.76 MB)
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5  K Means Clustering Algorithm with Python Part 4.mp4 (29.03 MB)
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1  Hierarchical Clustering Algorithm Theory.mp4 (28.57 MB)
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2  Hierarchical Clustering Algorithm with Python Part 1.mp4 (35.51 MB)
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3  Hierarchical Clustering Algorithm with Python Part 2.mp4 (28.9 MB)
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1  Principal Component Analysis (PCA) Theory.mp4 (37.95 MB)
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2  Principal Component Analysis (PCA) with Python Part 1.mp4 (26.02 MB)
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3  Principal Component Analysis (PCA) with Python Part 2.mp4 (8.43 MB)
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4  Principal Component Analysis (PCA) with Python Part 3.mp4 (37.27 MB)
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1  What is the Recommender System Part 1.mp4 (23.02 MB)
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2  What is the Recommender System Part 2.mp4 (17.96 MB)
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1  What is Kaggle.mp4 (129.75 MB)
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3  Registering on Kaggle and Member Login Procedures.mp4 (43.55 MB)
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5  Getting to Know the Kaggle Homepage.mp4 (122.88 MB)
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1  Competitions on Kaggle Lesson 1.mp4 (188.2 MB)
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2  Competitions on Kaggle Lesson 2.mp4 (191.71 MB)
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1  Datasets on Kaggle.mp4 (133.21 MB)
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1  Examining the Code Section in Kaggle Lesson 1.mp4 (79.55 MB)
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2  Examining the Code Section in Kaggle Lesson 2.mp4 (105.81 MB)
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3  Examining the Code Section in Kaggle Lesson 3.mp4 (159.82 MB)
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1  What is Discussion on Kaggle.mp4 (40.65 MB)
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1  Courses in Kaggle.mp4 (52.16 MB)
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2  Ranking Among Users on Kaggle.mp4 (107 MB)
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3  Blog and Documentation Sections.mp4 (40.91 MB)
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1  Reshaping a NumPy Array Reshape() Function.mp4 (26.15 MB)
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2  Identifying the Largest Element of a Numpy Array.mp4 (15.14 MB)
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3  Detecting Least Element of Numpy Array Min(), Ar.mp4 (10.19 MB)
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4  Concatenating Numpy Arrays Concatenate() Function.mp4 (38.38 MB)
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5  Splitting One-Dimensional Numpy Arrays The Split.mp4 (20.91 MB)
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6  Splitting Two-Dimensional Numpy Arrays Split(),.mp4 (35.72 MB)
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7  Sorting Numpy Arrays Sort() Function.mp4 (17.04 MB)
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1  User Page Review on Kaggle.mp4 (81.57 MB)
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2  Treasure in The Kaggle.mp4 (74.66 MB)
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3  Publishing Notebooks on Kaggle.mp4 (38.21 MB)
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4  What Should Be Done to Achieve Success in Kaggle.mp4 (58.42 MB)
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1  First Step to the Project.mp4 (117.19 MB)
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3  Notebook Design to be Used in the Project.mp4 (104.96 MB)
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5  Examining the Project Topic.mp4 (76.53 MB)
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6  Recognizing Variables In Dataset.mp4 (126.88 MB)
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1  Required Python Libraries.mp4 (63.57 MB)
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2  Loading the Dataset.mp4 (9.99 MB)
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3  Initial analysis on the dataset.mp4 (63.98 MB)
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1  Examining Missing Values.mp4 (45.78 MB)
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2  Examining Unique Values.mp4 (44.56 MB)
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3  Separating variables (Numeric or Categorical).mp4 (15.84 MB)
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4  Examining Statistics of Variables.mp4 (91.38 MB)
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1  Numeric Variables (Analysis with Distplot) Lesson 1.mp4 (80.4 MB)
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2  Numeric Variables (Analysis with Distplot) Lesson 2.mp4 (19.73 MB)
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3  Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 (74.77 MB)
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4  Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 (84.04 MB)
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5  Examining the Missing Data According to the Analysis Result.mp4 (53.78 MB)
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1  Numeric Variables - Target Variable (Analysis with FacetGrid) Lesson 1.mp4 (49.34 MB)
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10  Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 (68.07 MB)
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11  Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 (38.07 MB)
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12  Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 (35.46 MB)
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13  Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 (36.37 MB)
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14  Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 (90.66 MB)
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2  Numeric Variables - Target Variable (Analysis with FacetGrid) Lesson 2.mp4 (35.62 MB)
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3  Categoric Variables - Target Variable (Analysis with Count Plot) Lesson 1.mp4 (24.12 MB)
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4  Categoric Variables - Target Variable (Analysis with Count Plot) Lesson 2.mp4 (56.28 MB)
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5  Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 (28.36 MB)
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6  Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 (47.16 MB)
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7  Feature Scaling with the Robust Scaler Method.mp4 (35.19 MB)
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8  Creating a New DataFrame with the Melt() Function.mp4 (52.88 MB)
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9  Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 (41.7 MB)
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1  Dropping Columns with Low Correlation.mp4 (26.82 MB)
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10  Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 (11.46 MB)
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11  Separating Data into Test and Training Set.mp4 (29.76 MB)
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2  Visualizing Outliers.mp4 (34.87 MB)
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3  Dealing with Outliers - Trtbps Variable Lesson 1.mp4 (42.84 MB)
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4  Dealing with Outliers - Trtbps Variable Lesson 2.mp4 (43.91 MB)
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5  Dealing with Outliers - Thalach Variable.mp4 (36.23 MB)
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6  Dealing with Outliers - Oldpeak Variable.mp4 (36.08 MB)
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7  Determining Distributions of Numeric Variables.mp4 (25.2 MB)
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8  Transformation Operations on Unsymmetrical Data.mp4 (24 MB)
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9  Applying One Hot Encoding Method to Categorical Variables.mp4 (24.09 MB)
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1  Logistic Regression.mp4 (29.34 MB)
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2  Cross Validation.mp4 (30.21 MB)
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3  Roc Curve and Area Under Curve (AUC).mp4 (41.68 MB)
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4  Hyperparameter Optimization (with GridSearchCV).mp4 (58.77 MB)
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5  Decision Tree Algorithm.mp4 (25.7 MB)
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6  Support Vector Machine Algorithm.mp4 (24.5 MB)
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7  Random Forest Algorithm.mp4 (29.78 MB)
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8  Hyperparameter Optimization (with GridSearchCV).mp4 (52.67 MB)
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1  Project Conclusion and Sharing.mp4 (28.65 MB)
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1  Indexing Numpy Arrays.mp4 (26.6 MB)
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2  Slicing One-Dimensional Numpy Arrays.mp4 (22.29 MB)
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3  Slicing Two-Dimensional Numpy Arrays.mp4 (34.27 MB)
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4  Assigning Value to One-Dimensional Arrays.mp4 (18.2 MB)
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5  Assigning Value to Two-Dimensional Array.mp4 (35.41 MB)
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6  Fancy Indexing of One-Dimensional Arrrays.mp4 (20.48 MB)
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7  Fancy Indexing of Two-Dimensional Arrrays.mp4 (45.72 MB)
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8  Combining Fancy Index with Normal Indexing.mp4 (12.65 MB)
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9  Combining Fancy Index with Normal Slicing.mp4 (16.46 MB)
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1  Operations with Comparison Operators.mp4 (21.17 MB)
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2  Arithmetic Operations in Numpy.mp4 (71.87 MB)
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3  Statistical Operations in Numpy.mp4 (31.98 MB)
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4  Solving Second-Degree Equations with NumPy.mp4 (24.2 MB)
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1  Introduction to Pandas Library.mp4 (33.93 MB)
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1  Creating a Pandas Series with a List.mp4 (39.2 MB)
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2  Creating a Pandas Series with a Dictionary.mp4 (18.29 MB)
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3  Creating Pandas Series with NumPy Array.mp4 (11.96 MB)
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4  Object Types in Series.mp4 (19.55 MB)
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5  Examining the Primary Features of the Pandas Seri.mp4 (18.93 MB)
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6  Most Applied Methods on Pandas Series.mp4 (48.19 MB)
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7  Indexing and Slicing Pandas Series.mp4 (29.91 MB)
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1  Creating Pandas DataFrame with List.mp4 (22.56 MB)
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2  Creating Pandas DataFrame with NumPy Array.mp4 (12.1 MB)
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3  Creating Pandas DataFrame with Dictionary.mp4 (15.83 MB)
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4  Examining the Properties of Pandas DataFrames.mp4 (25.95 MB)
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