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~Get Your Files Here !/15 - Custom Dataset for Instance Segmentation/18 - Custom Dataset for Instance Segmentation.mp4 158.5 MB
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~Get Your Files Here !/4 - YOLOv8 for Realtime Video Instance Segmentation/4 - Introduction to YOLOv8 for Realtime Video Instance Segmentation.mp4 84.6 MB
~Get Your Files Here !/9 - Testing Segmentation YOLOv8 on Videos and Images/12 - Testing Segmentation YOLOv8 on Videos.mp4 82.8 MB
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~Get Your Files Here !/6 - Machine Learning/29 - SVM.mp4 63.9 MB
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~Get Your Files Here !/5 - Data Preparation/20 - Feature Scaling.mp4 56.7 MB
~Get Your Files Here !/6 - Machine Learning/25 - Regression Analysis.mp4 56.1 MB
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04 Mac OS Setup and Installation/011 Mac OS Installation and Setup.mp4 34.6 MB
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2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 71.9 MB
4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
4. Classifier and Python Package/1. Decision Tree Classifier.mp4 68.2 MB
3. Linear Regression/2. Linear Regression Example.mp4 67.8 MB
6. Missing Value/1. Handling Missing Values in Python.mp4 66.7 MB
5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
5. Evaluation Metrics/1. Evaluation Metrics.mp4 63.2 MB
6. Missing Value/4. More on Exception Handling in Python.mp4 61.5 MB
6. Missing Value/3. Exception Handling in Python.mp4 59.1 MB
4. Classifier and Python Package/2. Random Forest Classification.mp4 59.0 MB
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1. Introduction/1. Introduction Machine Learning Using Python.mp4 51.1 MB
2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 71.9 MB
2. Usage of Machine Learning Packages in Python/2. Example of Machine Learning Using Python.mp4 73.6 MB
2. Usage of Machine Learning Packages in Python/3. Example of Machine Learning Using Python Continues.mp4 36.2 MB
3. Linear Regression/1. Linear Regression in ML.mp4 87.0 MB
3. Linear Regression/2. Linear Regression Example.mp4 67.8 MB
3. Linear Regression/3. Linear Regression Example Continues.mp4 83.6 MB
3. Linear Regression/4. Support Vector Algorithm in ML.mp4 85.5 MB
4. Classifier and Python Package/1. Decision Tree Classifier.mp4 68.2 MB
4. Classifier and Python Package/2. Random Forest Classification.mp4 59.0 MB
4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
4. Classifier and Python Package/4. Apriori Python Package.mp4 78.1 MB
4. Classifier and Python Package/5. Apriori Python Package Continues.mp4 78.1 MB
5. Evaluation Metrics/1. Evaluation Metrics.mp4 63.3 MB
5. Evaluation Metrics/2. Example of Evaluation Metrics.mp4 102.6 MB
5. Evaluation Metrics/3. Confusion Matix in Evaluation Metrics.mp4 58.3 MB
5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 122.5 MB
5. Evaluation Metrics/5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 78.5 MB
5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
5. Evaluation Metrics/7. Scatter Matrix using Evaluation Metrics.mp4 35.4 MB
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5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 122.5 MB
5. Evaluation Metrics/2. Example of Evaluation Metrics.mp4 102.6 MB
3. Linear Regression/1. Linear Regression in ML.mp4 87.0 MB
3. Linear Regression/4. Support Vector Algorithm in ML.mp4 85.5 MB
3. Linear Regression/3. Linear Regression Example Continues.mp4 83.6 MB
5. Evaluation Metrics/5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 78.5 MB
4. Classifier and Python Package/4. Apriori Python Package.mp4 78.1 MB
4. Classifier and Python Package/5. Apriori Python Package Continues.mp4 78.1 MB
6. Missing Value/2. Handling Missing Values in Python Continues.mp4 75.8 MB
2. Usage of Machine Learning Packages in Python/2. Example of Machine Learning Using Python.mp4 73.6 MB
2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 71.9 MB
4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
4. Classifier and Python Package/1. Decision Tree Classifier.mp4 68.2 MB
3. Linear Regression/2. Linear Regression Example.mp4 67.8 MB
6. Missing Value/1. Handling Missing Values in Python.mp4 66.6 MB
5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
5. Evaluation Metrics/1. Evaluation Metrics.mp4 63.2 MB
6. Missing Value/4. More on Exception Handling in Python.mp4 61.5 MB
6. Missing Value/3. Exception Handling in Python.mp4 59.1 MB
4. Classifier and Python Package/2. Random Forest Classification.mp4 59.0 MB
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01.1-V3-Introduction-Welcome.mp4 14.9 MB
01.2-V2-Introduction-WhatIsMachineLearning.mp4 31.9 MB
01.3-V2-Introduction-SupervisedLearning.mp4 16.2 MB
01.4-V2-Introduction-UnsupervisedLearning.mp4 40.4 MB
02.1-V2-LinearRegressionWithOneVariable-ModelRepresentation.mp4 12.2 MB
02.2-V2-LinearRegressionWithOneVariable-CostFunction.mp4 13.7 MB
02.3-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionI.mp4 17.1 MB
02.4-V2-LinearRegressionWithOneVariable-CostFunctionIntuitionII.mp4 33.2 MB
02.5-V2-LinearRegressionWithOneVariable-GradientDescent.mp4 28.3 MB
02.6-V2-LinearRegressionWithOneVariable-GradientDescentIntuition.mp4 19.8 MB
02.7-V2-LinearRegressionWithOneVariable-GradientDescentForLinearRegression.mp4 26.7 MB
02.8-V2-What'sNext.mp4 7.7 MB
03.1-V2-LinearAlgebraReview(Optional)-MatricesAndVectors.mp4 12.5 MB
03.2-V2-LinearAlgebraReview(Optional)-AdditionAndScalarMultiplication.mp4 9.7 MB
03.3-V2-LinearAlgebraReview(Optional)-MatrixVectorMultiplication.mp4 21.2 MB
03.4-V2-LinearAlgebraReview(Optional)-MatrixMatrixMultiplication.mp4 23.4 MB
03.5-V2-LinearAlgebraReview(Optional)-MatrixMultiplicationProperties.mp4 12.3 MB
03.6-V2-LinearAlgebraReview(Optional)-InverseAndTranspose.mp4 25.8 MB
04.1-LinearRegressionWithMultipleVariables-MultipleFeatures.mp4 6.4 MB
04.2-LinearRegressionWithMultipleVariables-GradientDescentForMultipleVariables.mp4 5.0 MB
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