Pluralsight Path Machine Learning Literacy Practical Application 2021 |
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Pluralsight Path. Machine Learning Literacy. Practical Application (2021) |
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Total Size |
1.5 GB |
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Total Files |
388 |
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Last Seen |
2025-06-01 00:02 |
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Hash |
D9B1C43AA444AC9DA060AC20C767ABAE7319FD71 |
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/1. Key Concepts Machine Learning (Janani Ravi, 2021)/ |
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/1. Course Overview/ |
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3.4 MB |
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/.../2. Introducing Machine Learning Concept/ |
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/.../3. Identifying Problems Solved Using Machine Learning/ |
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11.7 MB |
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/.../4. Applying Machine Learning to Complex Data/ |
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3.4 MB |
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/.../5. Formulating a Simple Machine Learning Solution/ |
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3. Demo - Exploring and Understanding the Salary Dataset.mp4 |
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3. Demo - Exploring and Understanding the Salary Dataset.vtt |
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9.1 MB |
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/2. Approaches to Data Enabled Decision Making (Janani Ravi, 2021)/ |
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8.9 MB |
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/1. Course Overview/ |
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3.2 MB |
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2.7 KB |
/.../2. Introducing Data-driven Decision Making/ |
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2.6 MB |
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10.8 MB |
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10.3 MB |
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11.1 MB |
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7. Benefits and Limitations of Data-driven Decision Making.mp4 |
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7. Benefits and Limitations of Data-driven Decision Making.vtt |
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/.../3. Exploring Decision Frameworks/ |
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13.1 MB |
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/.../4. Applying Data-driven Decision Making/ |
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13.2 MB |
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12.4 MB |
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10.3 KB |
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10.5 MB |
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4. Case Study BADIR Framework - Winery and Wedding Event Company.mp4 |
13.4 MB |
4. Case Study BADIR Framework - Winery and Wedding Event Company.vtt |
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/3. Foundations of Statistics and Probability for Machine Learning (Janani Ravi, 2021)/ |
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3.4 MB |
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/1. Course Overview/ |
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3.2 MB |
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2.7 KB |
/.../2. Understanding Descriptive Statistics and Probability Distributions/ |
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13.6 MB |
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/.../3. Interpreting Data Using Statistical Test/ |
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10.6 MB |
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12.7 MB |
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/.../4. Performing Regression Analysis/ |
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/4. Machine Learning for Financial Services (Janani Ravi, 2021)/ |
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13.9 MB |
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3.0 KB |
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/1. Course Overview/ |
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3.4 MB |
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2.9 KB |
/.../2. Exploring Applications of Machine Learning in Financial Services/ |
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598.5 KB |
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10.7 MB |
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4.9 MB |
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9.9 MB |
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10.6 MB |
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/.../3. Case Study - Quantifying Risk and Return of Investment Opportunities/ |
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3.9 MB |
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11.6 MB |
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3. Stock Correlation Prediction - Background and Context.mp4 |
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3. Stock Correlation Prediction - Background and Context.vtt |
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5. Stock Correlation Coefficient Prediction - Methodology a.mp4 |
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5. Stock Correlation Coefficient Prediction - Methodology a.vtt |
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/.../4. Case Study - Extracting Insights for Fraud Detection/ |
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10.1 MB |
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2. Fraud Detection - Transaction Features and Customer Features.mp4 |
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2. Fraud Detection - Transaction Features and Customer Features.vtt |
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6.7 MB |
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12.0 MB |
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/.../5. Applying Machine Learning Techniques to Financial Data/ |
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2.7 MB |
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7.0 MB |
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6.2 KB |
3. Demo - Fraud Detection - Data Exploration and Preparation Part I.mp4 |
8.4 MB |
3. Demo - Fraud Detection - Data Exploration and Preparation Part I.vtt |
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4. Demo - Fraud Detection - Data Exploration and Preparation Part II.mp4 |
11.3 MB |
4. Demo - Fraud Detection - Data Exploration and Preparation Part II.vtt |
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8.9 MB |
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/5. Machine Learning for Retail (Janani Ravi, 2021)/ |
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39.2 MB |
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3.1 KB |
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2.3 KB |
/1. Course Overview/ |
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3.4 MB |
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3.0 KB |
/.../2. Exploring Applications of Machine Learning in Retail/ |
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583.8 KB |
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10.9 MB |
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04. Use Cases for ML in Retail - Predicting Customer Behavior.mp4 |
8.8 MB |
04. Use Cases for ML in Retail - Predicting Customer Behavior.vtt |
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05. Use Cases for ML in Retail - Visual Search and Voice Search.mp4 |
6.3 MB |
05. Use Cases for ML in Retail - Visual Search and Voice Search.vtt |
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06. Use Cases of ML in Retail - Virtual Assistants and Chatbots.mp4 |
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06. Use Cases of ML in Retail - Virtual Assistants and Chatbots.vtt |
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07. Use Cases of ML in Retail - Price and Inventory Prediction.mp4 |
9.4 MB |
07. Use Cases of ML in Retail - Price and Inventory Prediction.vtt |
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08. Use Cases of ML in Retail - Behavior Tracking via Video Analytics.mp4 |
10.3 MB |
08. Use Cases of ML in Retail - Behavior Tracking via Video Analytics.vtt |
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/.../3. Case Study - Optimizing Product Prices Using Machine Learning/ |
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7.5 MB |
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3. Price Optimization - Data Sources, Feature Engineering, and Models.mp4 |
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3. Price Optimization - Data Sources, Feature Engineering, and Models.vtt |
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4. Price Optimization - Price Elasticity, Linear Programming, and Results.mp4 |
11.0 MB |
4. Price Optimization - Price Elasticity, Linear Programming, and Results.vtt |
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/.../4. Case Study - Optimizing Supply Planning Using Machine Learning/ |
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6.9 MB |
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11.7 MB |
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3. Dynamic Vehicle Routing - Three Stage Workflow and Results.mp4 |
12.3 MB |
3. Dynamic Vehicle Routing - Three Stage Workflow and Results.vtt |
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/.../5. Applying Machine Learning Techniques to Retail Data/ |
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4.7 MB |
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08. Demo - Frequent Itemsets and Association Rules Using Support.mp4 |
7.8 MB |
08. Demo - Frequent Itemsets and Association Rules Using Support.vtt |
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09. Demo - Frequent Itemsets and Association Rules Using Confidence and Lift.mp4 |
8.9 MB |
09. Demo - Frequent Itemsets and Association Rules Using Confidence and Lift.vtt |
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7.4 MB |
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/6. Machine Learning for Healthcare (Janani Ravi, 2021)/ |
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8.0 MB |
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2.5 KB |
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2.2 KB |
/1. Course Overview/ |
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3.4 MB |
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2.9 KB |
/.../2. Exploring Applications of Machine Learning in Healthcare/ |
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588.8 KB |
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5. Use Cases of ML in Healthcare - AI-assisted Robotic Surgery.mp4 |
8.4 MB |
5. Use Cases of ML in Healthcare - AI-assisted Robotic Surgery.vtt |
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7. Use Cases of ML in Healthcare - Automating Administrative Tasks.mp4 |
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7. Use Cases of ML in Healthcare - Automating Administrative Tasks.vtt |
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13.9 MB |
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/.../3. Case Study - Disease Detection Using Machine Learning/ |
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12.5 MB |
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2. Chronic Disease Prediction - Data and Data Preprocessing.mp4 |
10.4 MB |
2. Chronic Disease Prediction - Data and Data Preprocessing.vtt |
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3. Chronic Disease Prediction - Models and Negation Tagging.mp4 |
6.1 MB |
3. Chronic Disease Prediction - Models and Negation Tagging.vtt |
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4. Chronic Disease Prediction - Results and Model Interpretation.mp4 |
7.7 MB |
4. Chronic Disease Prediction - Results and Model Interpretation.vtt |
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/.../4. Case Study - Diagnosis Using Medical Imaging/ |
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1. Diagnosis Using Medical Imaging - Background and Context.mp4 |
12.5 MB |
1. Diagnosis Using Medical Imaging - Background and Context.vtt |
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3. Diagnosis Using Medical Imaging - Results and Evaluation.mp4 |
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3. Diagnosis Using Medical Imaging - Results and Evaluation.vtt |
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/.../5. Applying Machine Learning Techniques to Healthcare Data/ |
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3.4 MB |
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2. Demo - Predicting Blood Pressure - Exploring the Dataset.mp4 |
11.8 MB |
2. Demo - Predicting Blood Pressure - Exploring the Dataset.vtt |
10.5 KB |
3. Demo - Predicting Blood Pressure - Performing Regression.mp4 |
13.4 MB |
3. Demo - Predicting Blood Pressure - Performing Regression.vtt |
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5. Demo - Predicting Liver Disease - Performing Classification.mp4 |
13.8 MB |
5. Demo - Predicting Liver Disease - Performing Classification.vtt |
10.8 KB |
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/7. Machine Learning for Marketing (Janani Ravi, 2021)/ |
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11.6 MB |
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2.7 KB |
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2.2 KB |
/1. Course Overview/ |
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3.8 MB |
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2.9 KB |
/.../2. Exploring Applications of Machine Learning in Marketing/ |
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587.9 KB |
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2.7 MB |
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10.1 MB |
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7. Use Cases of ML in Marketing - Customer Lifetime Value Prediction.mp4 |
11.3 MB |
7. Use Cases of ML in Marketing - Customer Lifetime Value Prediction.vtt |
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7.3 MB |
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5.5 KB |
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11.3 MB |
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8.9 KB |
/.../3. Case Study - Customer Segmentation and Discovery/ |
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8.8 MB |
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9.6 MB |
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8.2 MB |
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/.../4. Case Study - Price Optimization Using Dynamic Pricing/ |
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10.1 MB |
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11.1 MB |
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2.9 MB |
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2.2 KB |
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9.2 MB |
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/.../5. Applying Machine Learning Techniques to Marketing Data/ |
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2.3 MB |
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6.9 MB |
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12.0 MB |
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Total files 388 |
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