educative.io

Applied Machine Learning: Industry Case Study with TensorFlow (Adaptilab)


Data Processing - Writing TFRecords Write serialized Example objects into TFRecords files. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4985547481153536). Data Processing - Parsing Examples Set up a function for parsing Example objects with and without labels. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5360068629364736). Data Processing - TFRecords Dataset Create a TFRecords dataset configured specifically for the project's dataset. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/6666876702687232). Data Processing - Numeric Columns Learn about the numeric feature columns for the ML model's input layer. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4503803481030656). Data Processing - Embedding Columns Learn about the embedding feature columns for the ML model's input layer. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5926841439223808). Data Processing - Model Input Layer Understand the purpose of using feature columns for the model's input layer. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5551397544132608). Preliminary Data Analysis - Introduction Have questions about Introduction? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5744871107198976). Preliminary Data Analysis - Missing Data Learn how to merge feature datasets find missing data in features. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4634259539099648). Preliminary Data Analysis - Dropping Features Drop features from the dataset that have too many missing data values. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5528760382128128). Preliminary Data Analysis - Filling In Data Fill in missing data for features that only have a few missing values. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5540976795844608). Preliminary Data Analysis - Merging Data Merge the main training dataset with its corresponding feature data. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5310753546436608). Preliminary Data Analysis - Categorical Data Learn about categorical data and how it is used in a dataset. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/6177114871037952). Preliminary Data Analysis - Scatter Plot Learn how to create scatter plots comparing numerical features to sales. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/6750998821339136). Preliminary Data Analysis - Bar Plot Learn how to create bar plots comparing categorical features to sales. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/6341787356495872). Data Processing - Introduction Have questions about Introduction? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4916900196777984). Data Processing - Splitting Datasets Split the overall project's dataset into training and evaluation sets. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/6183938718433280). Data Processing - Integer Features Learn about the integer features used in the dataset. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5542384874029056). Model Predictions - Model Layers Have questions about Model Layers? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5884680844869632). Model Predictions - Regression Function Have questions about Regression Function? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4579401628909568). Model Predictions - Evaluation Mode Have questions about Evaluation Mode? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5741693162749952). Model Predictions - Model Training Have questions about Model Training? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5259661164937216). Model Predictions - Making Predictions Have questions about Making Predictions? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5523078958284800). Model Predictions - Final Report Have questions about Final Report? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5592761044566016). Model Predictions - Course Conclusion Have questions about Course Conclusion? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5829099169775616). Data Processing - Float Features Learn about the float features used in the dataset. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4568170880827392). What you'll learn from this course - Overview Have questions about Overview? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/6093540641734656). Model Predictions - Model Evaluation Have questions about Model Evaluation? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/6656490595155968). Preliminary Data Analysis - Interpreting Plots Interpret scatter and bar plots in the context of the project. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5058038811590656). Preliminary Data Analysis - Quiz Have questions about Quiz? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4708547306717184). Data Processing - String Features Learn about the string features used in the dataset. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4651206221758464). Data Processing - Indicator Columns Learn about the indicator feature columns for the ML model's input layer. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5052919797776384). Data Processing - Example Spec Create an Example spec used for parsing serialized Examples. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5923018582786048). Data Processing - Quiz Have questions about Quiz? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5342030907572224). Model Predictions - Prediction Mode Have questions about Prediction Mode? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5630342276841472). Model Predictions - Introduction Have questions about Introduction? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/4887801755598848). Model Predictions - Training Mode Have questions about Training Mode? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5642545017126912). Model Predictions - Regression Model Have questions about Regression Model? Go for it! View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5368739946037248). Preliminary Data Analysis - The Dataset Learn about the retail dataset used for the project. View the lesson [here](https://www.educative.io/collection/page/6083138522447872/5873588626259968/5752084907425792).
About the Applied Machine Learning: Industry Case Study with TensorFlow (Adaptilab) category [Applied Machine Learning: Industry Case Study with TensorFlow (Adaptilab)] (1)
Write_tfrecords has three parameters! [Data Processing - Writing TFRecords] (1)
Need to get csv material [Preliminary Data Analysis - The Dataset] (3)