Data Science: Diabetes Prediction- Model Building Deployment

Partner: Udemy
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Description: This course is about predicting whether or not the person has diabetes using Machine Learning Models. This is a hands on project where I will teach you the step by step process in creating and evaluating a machine learning model and finally deploying the same on Cloud platforms to let your customers interact with your model via an user interface.This course will walk you through the initial data exploration and understanding, data analysis, data preparation, model building, evaluation and deployment techniques. We will explore multiple ML algorithms to create our model and finally zoom into one which performs the best on the given dataset.At the end we will learn to create an User Interface to interact with our created model and finally deploy the same on Cloud.I have splitted and segregated the entire course in Tasks below, for ease of understanding of what will be covered.Task 1  :  Installing PackagesTask 2  :  Importing Libraries.Task 3  :  Loading the data from source.Task 4  :  Pandas ProfilingTask 5  :  Understanding the dataTask 6  :  Data Cleaning and ImputationTask 7  :  Train Test SplitTask 8  :  Scaling using StandardScalerTask 9  :  About Confusion MatrixTask 10 :  About Classification ReportTask 11 :  About AUC-ROCTask 12 :  Checking for model performance across a wide range of modelsTask 13 :  Creating Random Forest model with default parametersTask 14 :  Model Evaluation – Classification Report,Confusion Matrix,AUC-ROCTask 15 :  Hyperparameter Tuning using RandomizedSearchCVTask 16 :  Building RandomForestClassifier model with the selected hyperparametersTask 17 :  Final Model Evaluation – Classification Report,Confusion Matrix,AUC-ROCTask 18 :  Final InferenceTask 19
Category: Development > Data Science > Data Science
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Price: 19.99
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Source: Impact
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