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Data Science: Diabetes Prediction- Model Building Deployment

A practical hands on Data Science Project on Diabetes Prediction - Model Building & Deployment
(1 reviews)
15 students
Created by


CourseMarks Score®







Platform: Udemy
Video: 1h 3m
Language: English
Next start: On Demand

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CourseMarks Score®

9.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.8 / 10
This course was last updated on 10/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.4 / 10
We analyzed factors such as the rating (5.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

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Content Score

9.1 / 10
Video Score: 7.7 / 10
The course includes 1h 3m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
1 resources.
0 exercise.
0 test.

Table of contents


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 Packages
Task 2  :  Importing Libraries.
Task 3  :  Loading the data from source.
Task 4  :  Pandas Profiling
Task 5  :  Understanding the data
Task 6  :  Data Cleaning and Imputation
Task 7  :  Train Test Split
Task 8  :  Scaling using StandardScaler
Task 9  :  About Confusion Matrix
Task 10 :  About Classification Report
Task 11 :  About AUC-ROC
Task 12 :  Checking for model performance across a wide range of models
Task 13 :  Creating Random Forest model with default parameters
Task 14 :  Model Evaluation – Classification Report,Confusion Matrix,AUC-ROC
Task 15 :  Hyperparameter Tuning using RandomizedSearchCV
Task 16 :  Building RandomForestClassifier model with the selected hyperparameters
Task 17 :  Final Model Evaluation – Classification Report,Confusion Matrix,AUC-ROC
Task 18 :  Final Inference
Task 19 :  Loading the saved model and scaler objects
Task 20 :  Testing the model on random data
Task 21 :  What is Streamlit and Installation steps.
Task 22 :  Creating an user interface to interact with our created model.
Task 23 :  Running your notebook on Streamlit Server in your local machine.
Task 24 :  Pushing your project to GitHub repository.
Task 25 :  Project Deployment on Heroku Platform for free.

Data Analysis, Model Building and Deployment is one of the most demanded skill of the 21st century. Take the course now, and have a much stronger grasp of data analysis, machine learning and deployment in just a few hours!

You will receive :

1. Certificate of completion from AutomationGig.
2. All the datasets used in the course are in the resources section.
3. The Jupyter notebook and other project files are provided at the end of the course in the resource section.

So what are you waiting for?

Grab a cup of coffee, click on the ENROLL NOW Button and start learning the most demanded skill of the 21st century. We’ll see you inside the course!

Happy Learning !!

Music : bensound

You will learn

✓ Data Analysis and Understanding
✓ Data Cleaning and Imputation
✓ Data Preparation
✓ Model Building for Diabetes Prediction
✓ Hyperparameter Tuning
✓ Classification Metrics
✓ Model Evaluation
✓ Running the model on a local Streamlit Server
✓ Pushing your notebooks and project files to GitHub repository
✓ Deploying the project on Heroku Cloud Platform


• Very Basic knowledge of Python and Anaconda
• Familiarity with Github

This course is for

• Students and professionals who want to learn Data Analysis, Data Preparation for Model building, Evaluation and Model Deployment on Cloud.
• Students and professionals who wants to visually interact with their created models.
• Professionals who knows how to create models but wants to deploy their models on cloud platform.

How much does the Data Science: Diabetes Prediction- Model Building Deployment course cost? Is it worth it?

The course costs $12.99. And currently there is a 35% discount on the original price of the course, which was $19.99. So you save $7 if you enroll the course now.

Does the Data Science: Diabetes Prediction- Model Building Deployment course have a money back guarantee or refund policy?

YES, Data Science: Diabetes Prediction- Model Building Deployment has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Data Science: Diabetes Prediction- Model Building Deployment course, but there is a $7 discount from the original price ($19.99). So the current price is just $12.99.

Who is the instructor? Is AutomationGig . a SCAM or a TRUSTED instructor?

AutomationGig . has created 5 courses that got 18 reviews which are generally positive. AutomationGig . has taught 82 students and received a 4.6 average review out of 18 reviews. Depending on the information available, AutomationGig . is a TRUSTED instructor.
Hello Everyone!

My name is Jaydeep and I am super-psyched that you are reading this!

Professionally, I am a Test Architect and Machine Learning Engineer. I have around 10+ years of experience in field of Test Automation and Data Science and Machine Learning.

I have professional experience of training students in the field of Data Science and Test Automation.

I am absolutely and utterly passionate about Artificial Intelligence and Machine Learning and I am looking forward to sharing my passion and knowledge with you.

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CourseMarks Score®







Platform: Udemy
Video: 1h 3m
Language: English
Next start: On Demand

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