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Packt Hands-on Scikit-learn for Machine Learning\01.Getting Started with a Simple ML Model in Scikit-learn\0101.The Course Overview.mp4
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Packt Hands-on Scikit-learn for Machine Learning\01.Getting Started with a Simple ML Model in Scikit-learn\0102.Course Objectives, Software Installation, and Setup.mp4
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Packt Hands-on Scikit-learn for Machine Learning\01.Getting Started with a Simple ML Model in Scikit-learn\0103.Overview of Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\01.Getting Started with a Simple ML Model in Scikit-learn\0104.Scikit-learn Programming Workflow Example.mp4
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Packt Hands-on Scikit-learn for Machine Learning\01.Getting Started with a Simple ML Model in Scikit-learn\0105.Applying a KNN Model on Cancer Dataset.mp4
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Packt Hands-on Scikit-learn for Machine Learning\01.Getting Started with a Simple ML Model in Scikit-learn\0106.Improving the KNN Performance on Cancer Dataset.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0201.Linear and Logistic Regression.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0202.Evaluating Classification Models.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0203.Logistic Regression and Evaluation with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0204.Decision Trees.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0205.Bagging, Boosting, and Random Forests.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0206.Applying Ensemble Methods with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0207.Support Vector Machines.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0208.Applying Support Vector Machines Classifier with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\02.Classification Models\0209.Multi-class Classification Example with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\03.Supervised Machine Learning – Regression\0301.Downloading and Inspecting the Dataset.mp4
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Packt Hands-on Scikit-learn for Machine Learning\03.Supervised Machine Learning – Regression\0302.Handling Categorical Features and Missing Values.mp4
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Packt Hands-on Scikit-learn for Machine Learning\03.Supervised Machine Learning – Regression\0303.Creating Train and Test Sets and Finding Correlation.mp4
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Packt Hands-on Scikit-learn for Machine Learning\03.Supervised Machine Learning – Regression\0304.Feature Scaling, Evaluating Regression Models, and Applying Linear Regression.mp4
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Packt Hands-on Scikit-learn for Machine Learning\03.Supervised Machine Learning – Regression\0305.Regularization Techniques for Regression Analysis.mp4
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Packt Hands-on Scikit-learn for Machine Learning\03.Supervised Machine Learning – Regression\0306.Applying Random Forest for Regression Analysis.mp4
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Packt Hands-on Scikit-learn for Machine Learning\03.Supervised Machine Learning – Regression\0307.Multi-Layer Perceptron, Neural Networks, and Applying MLP with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\04.Unsupervised Learning —Dimensionality Reduction\0401.Principle Component Analysis.mp4
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Packt Hands-on Scikit-learn for Machine Learning\04.Unsupervised Learning —Dimensionality Reduction\0402.Applying PCA with Scikit-learn for Feature Reduction.mp4
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Packt Hands-on Scikit-learn for Machine Learning\04.Unsupervised Learning —Dimensionality Reduction\0403.Applying PCA for a Regression Problem on a Large Dataset.mp4
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Packt Hands-on Scikit-learn for Machine Learning\04.Unsupervised Learning —Dimensionality Reduction\0404.Nonlinear Methods of Feature Extraction – t-SNE and Isomap.mp4
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Packt Hands-on Scikit-learn for Machine Learning\04.Unsupervised Learning —Dimensionality Reduction\0405.Applying Dimensionality Reduction Techniques to Images.mp4
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Packt Hands-on Scikit-learn for Machine Learning\05.Unsupervised Learning – Clustering\0501.Introduction to Clustering and k-means Clustering.mp4
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Packt Hands-on Scikit-learn for Machine Learning\05.Unsupervised Learning – Clustering\0502.Applying k-means with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\05.Unsupervised Learning – Clustering\0503.Agglomerative Clustering.mp4
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Packt Hands-on Scikit-learn for Machine Learning\05.Unsupervised Learning – Clustering\0504.DBSCAN Clustering Algorithm.mp4
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Packt Hands-on Scikit-learn for Machine Learning\05.Unsupervised Learning – Clustering\0505.Applying DBSCAN with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0601.Handling Missing Values and Data Cleaning.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0602.Handling Missing Values and Scaling Numerical Features.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0603.Handling Outliers and Removing Distribution Skew.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0604.Handling Outliers and Removing Distribution Skew (Continued).mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0605.Deriving Additional Features.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0606.Evaluating Different Models and Cross- Validation.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0607.Model Selection Strategies.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0608.Feature Engineering for Classification.mp4
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Packt Hands-on Scikit-learn for Machine Learning\06.Improving ML Model Performance\0609.Model Selection Strategies for Credit Risk Assessment.mp4
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Packt Hands-on Scikit-learn for Machine Learning\07.Creating Pipelines and Advanced Model Selection\0701.Creating Processing Pipelines with Scikit-learn.mp4
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Packt Hands-on Scikit-learn for Machine Learning\07.Creating Pipelines and Advanced Model Selection\0702.Using Pipelines on Our Credit Risk Assessment Dataset.mp4
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Packt Hands-on Scikit-learn for Machine Learning\07.Creating Pipelines and Advanced Model Selection\0703.Advanced Model Selection Techniques.mp4
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Packt Hands-on Scikit-learn for Machine Learning\07.Creating Pipelines and Advanced Model Selection\0704.Practicing Pipelines with a Time-Series Dataset.mp4
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Packt Hands-on Scikit-learn for Machine Learning\08.Handling Text Data with Scikit-learn\0801.Bag-of-Words Model and Sentiment Analysis.mp4
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Packt Hands-on Scikit-learn for Machine Learning\08.Handling Text Data with Scikit-learn\0802.Using Stop-Words and TF-IDF for Sentiment Analysis.mp4
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Packt Hands-on Scikit-learn for Machine Learning\08.Handling Text Data with Scikit-learn\0803.Using N-Grams to Improve Model Performance for Sentiment Analysis.mp4 |
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Packt Hands-on Scikit-learn for Machine Learning\08.Handling Text Data with Scikit-learn\0804.Using Stemming and Lemmatization for Sentiment Analysis.mp4
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Packt Hands-on Scikit-learn for Machine Learning\08.Handling Text Data with Scikit-learn\0805.Topic Modeling with TruncatedSVD and Latent Dirichlet Allocation.mp4
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