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mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:6.41 GB

Files Included :

1  What is Machine Learning.mp4 (27.58 MB)
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2  Machine Learning Terminology.mp4 (14.03 MB)
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1  Hyperparameter Optimization Theory.mp4 (33.14 MB)
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2  Hyperparameter Optimization with Python.mp4 (47.45 MB)
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1  Decision Tree Algorithm Theory.mp4 (35.74 MB)
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2  Decision Tree Algorithm with Python Part 1.mp4 (31.55 MB)
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3  Decision Tree Algorithm with Python Part 2.mp4 (48.94 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 (42.44 MB)
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6  Decision Tree Algorithm with Python Part 5.mp4 (32.65 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 (47.34 MB)
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5  Support Vector Machine Algorithm with Python Part 4.mp4 (37.55 MB)
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1  Unsupervised Learning Overview.mp4 (16.92 MB)
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1  K Means Clustering Algorithm Theory.mp4 (17.13 MB)
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2  K Means Clustering Algorithm with Python Part 1.mp4 (29.95 MB)
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3  K Means Clustering Algorithm with Python Part 2.mp4 (29.64 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 (28.56 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 (28.89 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 (26.03 MB)
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3  Principal Component Analysis (PCA) with Python Part 2.mp4 (8.42 MB)
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4  Principal Component Analysis (PCA) with Python Part 3.mp4 (37.28 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 (129.63 MB)
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3  Registering on Kaggle and Member Login Procedures.mp4 (43.57 MB)
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5  Getting to Know the Kaggle Homepage.mp4 (122.91 MB)
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1  Installing Anaconda Distribution for Windows.mp4 (118.33 MB)
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2  Installing Anaconda Distribution for MacOs.mp4 (46.32 MB)
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3  Installing Anaconda Distribution for Linux.mp4 (114.78 MB)
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4  Overview of Jupyter Notebook and Google Colab.mp4 (27.36 MB)
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1  Competitions on Kaggle Lesson 1.mp4 (188.21 MB)
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2  Competitions on Kaggle Lesson 2.mp4 (191.73 MB)
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1  Datasets on Kaggle.mp4 (133.18 MB)
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1  Examining the Code Section in Kaggle Lesson 1.mp4 (79.52 MB)
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2  Examining the Code Section in Kaggle Lesson 2.mp4 (105.79 MB)
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3  Examining the Code Section in Kaggle Lesson 3.mp4 (159.87 MB)
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1  What is Discussion on Kaggle.mp4 (40.6 MB)
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1  Courses in Kaggle.mp4 (52.15 MB)
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2  Ranking Among Users on Kaggle.mp4 (107.05 MB)
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3  Blog and Documentation Sections.mp4 (40.92 MB)
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1  User Page Review on Kaggle.mp4 (81.53 MB)
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2  Treasure in The Kaggle.mp4 (74.61 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 (58.47 MB)
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1  First Step to the Project.mp4 (117.1 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 (76.49 MB)
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6  Recognizing Variables In Dataset.mp4 (126.87 MB)
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1  Required Python Libraries.mp4 (63.56 MB)
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2  Loading the Dataset.mp4 (9.97 MB)
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3  Initial analysis on the dataset.mp4 (63.96 MB)
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1  Examining Missing Values.mp4 (45.77 MB)
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2  Separating variables (Numeric or Categorical).mp4 (15.83 MB)
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1  Numeric Variables (Analysis with Distplot) Lesson 1.mp4 (80.32 MB)
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2  Numeric Variables (Analysis with Distplot) Lesson 2.mp4 (19.75 MB)
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3  Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 (74.76 MB)
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4  Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 (84.09 MB)
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5  Examining the Missing Data According to the Analysis Result.mp4 (53.78 MB)
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1  Classification vs Regression in Machine Learning.mp4 (19.9 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  Numeric Variables - Target Variable (Analysis with FacetGrid) Lesson 1.mp4 (49.36 MB)
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10  Creating a New DataFrame with the Melt() Function.mp4 (52.87 MB)
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11  Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 (41.68 MB)
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12  Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 (68.1 MB)
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13  Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 (38.05 MB)
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14  Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 (35.47 MB)
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15  Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 (36.33 MB)
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16  Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 (90.65 MB)
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2  Numeric Variables - Target Variable (Analysis with FacetGrid) Lesson 2.mp4 (35.63 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 (28.35 MB)
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6  Examining Unique Values.mp4 (44.55 MB)
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7  Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 (47.13 MB)
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8  Examining Statistics of Variables.mp4 (91.38 MB)
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9  Feature Scaling with the Robust Scaler Method.mp4 (35.19 MB)
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1  Dropping Columns with Low Correlation.mp4 (26.83 MB)
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10  Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 (11.43 MB)
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11  Separating Data into Test and Training Set.mp4 (29.77 MB)
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2  Visualizing Outliers.mp4 (34.88 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 (43.92 MB)
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5  Dealing with Outliers - Thalach Variable.mp4 (36.24 MB)
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6  Dealing with Outliers - Oldpeak Variable.mp4 (36.07 MB)
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7  Determining Distributions of Numeric Variables.mp4 (25.17 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 (24.11 MB)
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1  Logistic Regression.mp4 (29.35 MB)
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2  Cross Validation.mp4 (30.2 MB)
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3  Roc Curve and Area Under Curve (AUC).mp4 (41.69 MB)
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4  Hyperparameter Optimization (with GridSearchCV).mp4 (58.76 MB)
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5  Decision Tree Algorithm.mp4 (25.69 MB)
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6  Support Vector Machine Algorithm.mp4 (24.51 MB)
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7  Random Forest Algorithm.mp4 (29.77 MB)
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8  Hyperparameter Optimization (with GridSearchCV).mp4 (52.65 MB)
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1  Project Conclusion and Sharing.mp4 (28.66 MB)
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1  What is Supervised Learning in Machine Learning.mp4 (31.7 MB)
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1  Linear Regression Algorithm Theory in Machine Learning A-Z.mp4 (34.07 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 (106.93 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 (27.83 MB)
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2  Logistic Regression Algorithm with Python Part 1.mp4 (72.24 MB)
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3  Logistic Regression Algorithm with Python Part 2.mp4 (81.45 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 (37.55 MB)
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6  Logistic Regression Algorithm with Python Part 5.mp4 (47.16 MB)
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1  K-Fold Cross-Validation Theory.mp4 (17.44 MB)
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2  K-Fold Cross-Validation with Python.mp4 (34.67 MB)
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1  K Nearest Neighbors Algorithm Theory.mp4 (28.65 MB)
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2  K Nearest Neighbors Algorithm with Python Part 1.mp4 (35.04 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 (31.4 MB)
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