download скачать Free download скачать : Pluralsight - Machine Learning Literacy - Practical Application
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.14 GB

Files Included :

1  Course Overview.mp4 (3.22 MB)
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1  Version Check.mp4 (563.37 KB)
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2  Prerequisites and Course Outline.mp4 (2.85 MB)
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3  What Is Machine Learning.mp4 (10.78 MB)
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4  Rule-based Systems.mp4 (6.13 MB)
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5  Rule-based Systems vs  ML-based Systems.mp4 (8.98 MB)
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6  Traditional ML Models and Representation ML Models.mp4 (9.61 MB)
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7  Traditional ML Models vs  Deep Learning ML Models.mp4 (4.34 MB)
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8  The Machine Learning Mindset.mp4 (7.95 MB)
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9  Examples of AI in the Real World.mp4 (7.75 MB)
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1  Choosing the Right Machine Learning Solution.mp4 (7.39 MB)
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2  Supervised vs  Unsupervised Learning.mp4 (11.2 MB)
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3  Specialized ML Problems - Recommendation Systems.mp4 (7.75 MB)
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4  Specialized ML Problems - Association Rules Learning.mp4 (3.45 MB)
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5  Specialized ML Problems - Reinforcement Learning.mp4 (3.64 MB)
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6  Identifying Characteristics of Good ML Problems.mp4 (11.18 MB)
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7  Framing a Machine Learning Solution.mp4 (8.3 MB)
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1  Applying ML to Text, Image, and Speech Data.mp4 (3.22 MB)
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2  Applying Machine Learning to Text Data.mp4 (10.87 MB)
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3  Preprocessing Text Data.mp4 (5.35 MB)
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4  Applying Machine Learning to Image Data.mp4 (6.94 MB)
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5  The Intuition Behind CNNs.mp4 (6.56 MB)
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6  Applying Machine Learning to Speech Data.mp4 (12.49 MB)
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1  Quick Overview of Linear Regression.mp4 (6.75 MB)
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2  The Machine Learning Workflow.mp4 (4.62 MB)
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3  Demo - Exploring and Understanding the Salary Dataset.mp4 (8.48 MB)
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4  Demo - Dealing with Outliers and Missing Values.mp4 (8.14 MB)
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5  Demo - Performing Simple Linear Regression.mp4 (8.65 MB)
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6  Summary and Further Study.mp4 (1.78 MB)
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1  Course Overview.mp4 (3.07 MB)
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1  Prerequisites and Course Outline.mp4 (2.49 MB)
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2  The Data Mindset.mp4 (4.09 MB)
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3  Data-inspired, Data-informed, Data-driven.mp4 (10.32 MB)
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4  Steps in Data-driven Decision Making.mp4 (13.47 MB)
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5  Evolution of a Data-driven Organization.mp4 (9.78 MB)
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6  Examples of Data-driven Decision Making.mp4 (10.56 MB)
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7  Benefits and Limitations of Data-driven Decision Making.mp4 (9.3 MB)
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1  Data-enabled Decision Theory.mp4 (11.9 MB)
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2  Multiple Criteria Decision Making.mp4 (6.19 MB)
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3  Goal Programming and Analytic Hierarchy Process.mp4 (11.05 MB)
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4  Data-to-Decisions with the BADIR Framework.mp4 (10.55 MB)
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5  The CRISP-DM Framework for Predictive Analytics.mp4 (8.27 MB)
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6  Porters Five Forces Framework.mp4 (12.53 MB)
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7  Decision Making Frameworks of Successful People.mp4 (7.67 MB)
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1  Case Study - Hospitality Industry.mp4 (12.63 MB)
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2  Case Study - Digital Gaming Platform.mp4 (11.8 MB)
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3  Case Study - Financial Services.mp4 (9.98 MB)
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4  Case Study BADIR Framework - Winery and Wedding Event Company.mp4 (12.81 MB)
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5  Summary and Further Study.mp4 (2.65 MB)
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1  Course Overview.mp4 (3.07 MB)
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01  Version Check.mp4 (623.22 KB)
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09  Demo - Probability.mp4 (4.91 MB)
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1  Steps in Hypothesis Testing.mp4 (10.12 MB)
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2  Hypothesis Testing - Lady Tasting Tea.mp4 (6 MB)
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3  Type I and Type II Errors.mp4 (6.91 MB)
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4  Introducing t-tests.mp4 (6.77 MB)
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5  Types of t-tests.mp4 (8.56 MB)
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6  Demo - Two Sample t-test Part I.mp4 (12.07 MB)
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7  Demo - Two Sample t-test Part II.mp4 (4.69 MB)
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8  Demo - Paired Samples t-test.mp4 (13.31 MB)
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1  Connecting the Dots with Linear Regression.mp4 (9.38 MB)
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2  Setting up the Regression Problem.mp4 (6.4 MB)
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3  Interpreting the Results of Regression.mp4 (5.76 MB)
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4  Demo - Exploring the Dataset.mp4 (4.95 MB)
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5  Demo - Regression Analysis Using a Single Predictor.mp4 (13.51 MB)
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6  Demo - Preprocessing Data for Multiple Regression.mp4 (11.84 MB)
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7  Demo - Regression Analysis Using Multiple Predictors.mp4 (9.5 MB)
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8  Summary and Further Study.mp4 (1.67 MB)
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1  Course Overview.mp4 (3.21 MB)
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01  Version Check.mp4 (584.5 KB)
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02  Prerequisites and Course Outline.mp4 (2.71 MB)
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03  Data and Analytics Trends in Finance.mp4 (10.24 MB)
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05  Use Cases of ML in Finance - Loan Automation.mp4 (5.26 MB)
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07  Use Cases of ML in Finance - Robo Advisors.mp4 (5.02 MB)
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08  Use Cases of ML in Finance - Fraud Detection.mp4 (4.7 MB)
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09  Recurrent Neural Networks for Financial Data.mp4 (9.41 MB)
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10  Challenges of ML in Finance.mp4 (10.07 MB)
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1  Managing Portfolio Risk.mp4 (3.73 MB)
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2  Modeling Returns and Risk.mp4 (11.02 MB)
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1  Fraud Detection - Background and Context.mp4 (9.65 MB)
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3  Fraud Detection - Snorkel Labeling.mp4 (6.39 MB)
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4  Fraud Detection - Methodology and Results.mp4 (11.42 MB)
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1  Classification Use Cases.mp4 (2.54 MB)
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2  Accuracy, Precision, and Recall.mp4 (6.67 MB)
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5  Demo - Fraud Detection - Classification Models.mp4 (8.48 MB)
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6  Demo - Fraud Detection - ROC Curves and AUC.mp4 (6.82 MB)
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7  Summary, Resources Used, and Further Study.mp4 (2.01 MB)
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1  Course Overview.mp4 (3.25 MB)
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01  Version Check.mp4 (570.07 KB)
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02  Prerequisites and Course Outline.mp4 (2.33 MB)
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03  Digital Trends in Retail.mp4 (10.41 MB)
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04  Use Cases for ML in Retail - Predicting Customer Behavior.mp4 (8.39 MB)
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05  Use Cases for ML in Retail - Visual Search and Voice Search.mp4 (6.04 MB)
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06  Use Cases of ML in Retail - Virtual Assistants and Chatbots.mp4 (4.38 MB)
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07  Use Cases of ML in Retail - Price and Inventory Prediction.mp4 (8.95 MB)
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08  Use Cases of ML in Retail - Behavior Tracking via Video Analytics.mp4 (9.86 MB)
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09  Machine Learning for Visual Search.mp4 (12.38 MB)
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10  Challenges Applying Machine Learning in Retail.mp4 (8.47 MB)
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1  Price Elasticity of Demand.mp4 (7.11 MB)
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2  Price Optimization - Background and Context.mp4 (7.38 MB)
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1  AI in The Supply Chain and Route Optimization.mp4 (6.61 MB)
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2  Dynamic Vehicle Routing - Background and Context.mp4 (11.2 MB)
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3  Dynamic Vehicle Routing - Three Stage Workflow and Results.mp4 (11.7 MB)
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01  Association Rules Learning.mp4 (4.46 MB)
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02  Frequent Itemsets and Support.mp4 (5.55 MB)
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03  Confidence, Lift, and Conviction.mp4 (3.75 MB)
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04  Apriori Algorithm.mp4 (2.97 MB)
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05  Demo - Data Cleaning and Preparation.mp4 (8.46 MB)
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06  Demo - Data Exploration.mp4 (8.62 MB)
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07  Demo - Transaction Encoding.mp4 (6.75 MB)
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08  Demo - Frequent Itemsets and Association Rules Using Support.mp4 (7.46 MB)
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10  Demo - Recommending Top 5 Products.mp4 (7.1 MB)
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11  Summary, References, and Further Study.mp4 (2.37 MB)
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1  Course Overview.mp4 (3.26 MB)
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1  Version Check.mp4 (575.01 KB)
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2  Prerequisites and Course Outline.mp4 (2.83 MB)
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3  AIML in Healthcare.mp4 (6.82 MB)
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4  Use Cases of ML in Healthcare - Epidemic Control.mp4 (6.88 MB)
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5  Use Cases of ML in Healthcare - AI-assisted Robotic Surgery.mp4 (7.98 MB)
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6  Use Cases of ML in Healthcare - Predictive Analytics.mp4 (6.94 MB)
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8  Convolutional Neural Networks to Work with Images.mp4 (13.25 MB)
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9  Challenges in Applying ML to Healthcare.mp4 (9.99 MB)
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1  Chronic Disease Detection - Background and Context.mp4 (11.9 MB)
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2  Chronic Disease Prediction - Data and Data Preprocessing.mp4 (9.91 MB)
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3  Chronic Disease Prediction - Models and Negation Tagging.mp4 (5.81 MB)
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4  Chronic Disease Prediction - Results and Model Interpretation.mp4 (7.38 MB)
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1  Diagnosis Using Medical Imaging - Background and Context.mp4 (11.92 MB)
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2  Diagnosis Using Medical Imaging - Data and Models.mp4 (10.53 MB)
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3  Diagnosis Using Medical Imaging - Results and Evaluation.mp4 (6.79 MB)
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1  Classification and Regression.mp4 (3.25 MB)
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2  Demo - Predicting Blood Pressure - Exploring the Dataset.mp4 (11.25 MB)
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3  Demo - Predicting Blood Pressure - Performing Regression.mp4 (12.74 MB)
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4  Demo - Predicting Liver Disease - Data Exploration.mp4 (9.97 MB)
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5  Demo - Predicting Liver Disease - Performing Classification.mp4 (13.18 MB)
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6  Summary, Resources Used, and Further Study.mp4 (2.15 MB)
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1  Course Overview.mp4 (3.6 MB)
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1  Version Check.mp4 (574.14 KB)
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2  Prerequisites and Course Outline.mp4 (2.57 MB)
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3  Digital Trends in Marketing.mp4 (9.59 MB)
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4  Use Cases of ML in Marketing - Customer Segmentation.mp4 (9.49 MB)
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5  Use Cases of ML in Marketing - Price Optimization.mp4 (5.44 MB)
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6  Use Cases of ML in Marketing - Personalization.mp4 (8.98 MB)
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8  An Overview of Recommendation Systems.mp4 (6.97 MB)
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9  Challenges and Risks of Using ML in Marketing.mp4 (10.81 MB)
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1  Customer Segmentation - Background and Context.mp4 (8.41 MB)
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2  Customer Segmentation - Techniques and Steps.mp4 (9.16 MB)
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3  Customer Segmentation - Data and Feature Engineering.mp4 (9.38 MB)
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4  Customer Segmentation - Models and Results.mp4 (7.85 MB)
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1  Dynamic Pricing - Background and Methodology.mp4 (9.63 MB)
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2  Dynamic Pricing - Input Data and Process Engineering.mp4 (10.62 MB)
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3  Dynamic Pricing - Prediction Model.mp4 (2.75 MB)
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4  Dynamic Pricing - Pricing Strategies and Results.mp4 (8.8 MB)
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1  An Overview of Clustering.mp4 (2.22 MB)
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2  K-means Clustering.mp4 (6.59 MB)
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3  Demo - Data Preparation and Cleaning.mp4 (11.49 MB)
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4  Demo - Data Exploration and Visualization.mp4 (8.09 MB)
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5  Demo - Standardizing and Normalizing Data.mp4 (6.58 MB)
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6  Demo - Performing K-means Clustering.mp4 (6.38 MB)
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7  Demo - Visualizing Clusters.mp4 (7 MB)
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8  Summary, References, and Further Study.mp4 (2.19 MB)
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