Download Free Download : Udemy Machine Learning and Data Science with Python and Kaggle A-Z
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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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)
MP4
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)
MP4
5 Examining the Project Topic.mp4 (76.49 MB)
MP4
6 Recognizing Variables In Dataset.mp4 (126.87 MB)
MP4
1 Required Python Libraries.mp4 (63.56 MB)
MP4
2 Loading the Dataset.mp4 (9.97 MB)
MP4
3 Initial analysis on the dataset.mp4 (63.96 MB)
MP4
1 Examining Missing Values.mp4 (45.77 MB)
MP4
2 Separating variables (Numeric or Categorical).mp4 (15.83 MB)
MP4
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)
MP4
4 Machine Learning With Python.mp4 (92.26 MB)
MP4
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)
MP4
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)
MP4
11 Separating Data into Test and Training Set.mp4 (29.77 MB)
MP4
2 Visualizing Outliers.mp4 (34.88 MB)
MP4
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)
MP4
5 Dealing with Outliers - Thalach Variable.mp4 (36.24 MB)
MP4
6 Dealing with Outliers - Oldpeak Variable.mp4 (36.07 MB)
MP4
7 Determining Distributions of Numeric Variables.mp4 (25.17 MB)
MP4
8 Transformation Operations on Unsymmetrical Data.mp4 (24 MB)
MP4
9 Applying One Hot Encoding Method to Categorical Variables.mp4 (24.11 MB)
MP4
1 Logistic Regression.mp4 (29.35 MB)
MP4
2 Cross Validation.mp4 (30.2 MB)
MP4
3 Roc Curve and Area Under Curve (AUC).mp4 (41.69 MB)
MP4
4 Hyperparameter Optimization (with GridSearchCV).mp4 (58.76 MB)
MP4
5 Decision Tree Algorithm.mp4 (25.69 MB)
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6 Support Vector Machine Algorithm.mp4 (24.51 MB)
MP4
7 Random Forest Algorithm.mp4 (29.77 MB)
MP4
8 Hyperparameter Optimization (with GridSearchCV).mp4 (52.65 MB)
MP4
1 Project Conclusion and Sharing.mp4 (28.66 MB)
MP4
1 What is Supervised Learning in Machine Learning.mp4 (31.7 MB)
MP4
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)
MP4
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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um Code Inhalt zu sehen!