[ FreeCourseWeb.com ] Practical Machine Learning (2024)
    
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                    - ~Get Your Files Here !/4. Train Models/3. Train a PyTorch neural net model.mp4  75.9 MB
 
                
                    - ~Get Your Files Here !/1. Introduction/4. Common applications for ML [optional].mp4  68.2 MB
 
                
                    - ~Get Your Files Here !/1. Introduction/1. Introduction.mp4  18.4 MB
 
                
                    - ~Get Your Files Here !/5. Deploy Models/1. What is ML in Production.mp4  18.0 MB
 
                
                    - ~Get Your Files Here !/4. Train Models/1. Train models using tools from industry like scikit learn and xgboost.mp4  16.1 MB
 
                
                    - ~Get Your Files Here !/5. Deploy Models/3. Metrics and Monitoring.mp4  15.6 MB
 
                
                    - ~Get Your Files Here !/2. Data Analysis/1. Intro working with datasets to identify key insights.mp4  9.9 MB
 
                
                    - ~Get Your Files Here !/1. Introduction/2. Define the roles and responsibilities of a machine learning engineer.mp4  9.6 MB
 
                
                    - ~Get Your Files Here !/3. Data Pipelines/1. What is an ETL pipeline.mp4  6.8 MB
 
                
                    - ~Get Your Files Here !/6. Outro/1. That's all folks!.mp4  3.8 MB
 
                
                    - ~Get Your Files Here !/2. Data Analysis/3. The power of pandas.mp4  2.2 MB
 
                
                    - ~Get Your Files Here !/3. Data Pipelines/1.1 L8_ ETLs.pdf  59.1 KB
 
                
                    - ~Get Your Files Here !/2. Data Analysis/3.2 L7_ The Power of Pandas.pdf  54.9 KB
 
                
                    - ~Get Your Files Here !/3. Data Pipelines/2. Introduction to Airflow [optional].html  6.4 KB
 
                
                    - ~Get Your Files Here !/Bonus Resources.txt  386 bytes
 
                
                    - Get Bonus Downloads Here.url  183 bytes
 
                
                    - ~Get Your Files Here !/2. Data Analysis/3.1 Different ways to use pandas and their performance implications.html  149 bytes
 
                
                    - ~Get Your Files Here !/4. Train Models/3.1 Colab notebook follow along.html  146 bytes
 
                
                    - ~Get Your Files Here !/2. Data Analysis/5. Exploring some nba player data.html  127 bytes
 
                
                    - ~Get Your Files Here !/3. Data Pipelines/3. Introduction to Prefect Creating your first data workflow.html  127 bytes
 
                
                    - ~Get Your Files Here !/3. Data Pipelines/4. Let's migrate our NBA player data exploration into a workflow.html  127 bytes
 
                
                    - ~Get Your Files Here !/4. Train Models/2. Making predictions off NBA player data.html  127 bytes
 
                
                    - ~Get Your Files Here !/5. Deploy Models/2. Deploying a PyTorch neural net model.html  127 bytes
 
                
                    - ~Get Your Files Here !/1. Introduction/3. A day in the life as an ML engineer.html  123 bytes
 
                
                    - ~Get Your Files Here !/2. Data Analysis/2. Getting familiar with some 2020 census data.html  123 bytes
 
                
                    - ~Get Your Files Here !/2. Data Analysis/4. Exploring some additional census data.html  123 bytes
 
                
                    - ~Get Your Files Here !/1. Introduction/4.1 Good fraud dataset on Kaggle.html  122 bytes
 
                
                    - ~Get Your Files Here !/3. Data Pipelines/2.1 We choose Prefect in place of Airflow for our guided assignment.html  120 bytes
 
                
                    - ~Get Your Files Here !/2. Data Analysis/3.4 Pandas User Guide.html  113 bytes
 
                
                    - ~Get Your Files Here !/2. Data Analysis/3.3 Pandas Cheat Sheet.html  109 bytes
 
                
                    - ~Get Your Files Here !/2. Data Analysis/1.1 Welcome to Colaboratory.html  102 bytes
 
                
            
        
     
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