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23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB8 - Data Analysis and Visualization Capstone Project Exercise/73 - 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Seaborn Data Visualizations/67 - Seaborn Comparison Plots Coding with Seaborn.mp4 81.8 MB24 - DBSCAN Densitybased spatial clustering of applications with noise/212 - DBSCAN Theory and Intuition.mp4 81.1 MB24 - DBSCAN Densitybased spatial clustering of applications with noise/213 - DBSCAN versus KMeans Clustering.mp4 80.7 MB17 - Random Forests/167 - Coding Classification with Random Forest Classifier Part One.mp4 80.2 MB20 - Naive Bayes Classification and Natural Language Processing Supervised Learning/189 - Feature Extraction from Text Coding with ScikitLearn.mp4 79.2 MB10 - Linear Regression/89 - Linear Regression ScikitLearn Performance Evaluation Regression.mp4 77.1 MB13 - Logistic Regression/127 - Logistic Regression Theory and Intuition Best fit with Maximum Likelihood.mp4 76.4 MB12 - Cross Validation Grid Search and the Linear Regression Project/118 - Cross Validation crossvalidate.mp4 75.7 MB22 - KMeans Clustering/200 - KMeans Clustering Coding Part Three.mp4 73.5 MB12 - Cross Validation Grid Search and the Linear Regression Project/115 - 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1 - Introduction to Course/2 - UNZIP-FOR-NOTEBOOKS-FINAL.zip 70.4 MB1 - Introduction to Course/3 - UNZIP-FOR-NOTEBOOKS-FINAL.zip 70.4 MB10 - Linear Regression/91 - Linear Regression Model Deployment and Coefficient Interpretation.mp4 70.4 MB5 - Pandas/45 - Pandas Project Exercise Overview.mp4 70.2 MB6 - Matplotlib/54 - Matplotlib Styling Colors and Styles.mp4 67.8 MB12 - Cross Validation Grid Search and the Linear Regression Project/117 - Cross Validation crossvalscore.mp4 66.3 MB5 - Pandas/38 - Pandas Text Methods for String Data.mp4 66.1 MB20 - Naive Bayes Classification and Natural Language Processing Supervised Learning/186 - Naive Bayes Algorithm Part Two Model Algorithm.mp4 65.7 MB10 - Linear Regression/102 - L2 Regularization Ridge Regression Theory.mp4 64.3 MB18 - Boosting Methods/176 - AdaBoost Coding Part One The Data.mp4 64.0 MB10 - Linear Regression/90 - Linear Regression Residual Plots.mp4 63.2 MB7 - Seaborn Data Visualizations/64 - Categorical Plots Distributions within Categories Understanding Plot Types.mp4 61.9 MB17 - 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1 - Introduction to Course/5 - requirements.txt 221 Bytes
0. Websites you may like/[CourseClub.Me].url 122 Bytes19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/[CourseClub.Me].url 122 Bytes4 - NumPy/[CourseClub.Me].url 122 Bytes[CourseClub.Me].url 122 Bytes1 - Introduction to Course/5 - Backup Google Link for requirementstxt file.txt 82 Bytes24 - DBSCAN Densitybased spatial clustering of applications with noise/212 - DBSCAN Online Visualization Tool.txt 65 Bytes0. Websites you may like/[GigaCourse.Com].url 49 Bytes19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/[GigaCourse.Com].url 49 Bytes4 - NumPy/[GigaCourse.Com].url 49 Bytes[GigaCourse.Com].url 49 Bytes Machine Learning Tutorial _ Machine Learning Basics _... 62.9 MB [ FreeCourseWeb.com ] Hands-On Machine Learning with C +... 101.7 MB [Tutorialsplanet.NET] Udemy - Machine Learning, Deep... 5.9 GB [ DevCourseWeb.com ] Machine Learning with PyTorch and... 484.0 MB Machine Learning, Deep Learning and Bayesian Learning 6.0 GB Udemy - Machine Learning, Deep Learning and Bayesian Learning 5.9 GB [GigaCourse.Com] Udemy - Machine Learning, Deep Learning... 5.9 GB [FreeCourseSite.com] Udemy - Machine Learning Deep... 5.9 GB Class Dismissed - A Film About Learning Outside of the... 935.4 MB
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