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| Archived
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Chapter_3-Unsupervised_Learning_Algorithms\12 1 K-Means Clustering Implementation in Python.mp4
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Chapter_3-Unsupervised_Learning_Algorithms\13 2 Hierarchical Clustering Implementation in Python.mp4
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Chapter_3-Unsupervised_Learning_Algorithms\14 3 DBSCAN (Density-Based Spatial Clustering of Applications w Noise).mp4
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Chapter_3-Unsupervised_Learning_Algorithms\15 4 Gaussian Mixture Models(GMM) Implementation in Python.mp4
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Chapter_3-Unsupervised_Learning_Algorithms\16 5 Principal Component Analysis (PCA) Implementation in Python.mp4
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Chapter_3-Unsupervised_Learning_Algorithms\17 6 t-Distributed Stochastic Neighbor Embedding (t-SNE) Implementation in Python.mp4
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Chapter_3-Unsupervised_Learning_Algorithms\18 7 Autoencoders Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\19 1 Self-Training Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\20 2 Q-Learning Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\21 3 Deep Q-Networks (DQN) Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\22 4 Policy Gradient Methods Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\23 5 One-Class SVM Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\24 6 Isolation Forest Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\25 7 Convolutional Neural Networks (CNNs) Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\26 8 Recurrent Neural Networks (RNNs) Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\27 9 Long Short-Term Memory (LSTM) Implementation in Python.mp4
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Chapter_4-Other_Specialized_Categories\28 10 Transformers Implementation in Python.mp4
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Chapter_1-Introduction_to_Machine_Learning_Algorithms_and_Implementation_in_Python\1 Introduction to Machine Learning Algorithms and Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\10 9 Gradient Boosting Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\11 10 Naive Bayes Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\2 1 Linear Regression Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\3 2 Ridge and Lasso Regression Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\4 3 Polynomial Regression Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\5 4 Logistic Regression Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\6 5 K-Nearest Neighbors (KNN) Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\7 6 Support Vector Machines (SVM) Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\8 7 Decision Trees Implementation in Python.mp4
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Chapter_2-Supervised_Learning_Algorithms\9 8 Random Forests Implementation in Python.mp4
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