EDUCBA

AI Driven Machine Learning with Python Specialization

EDUCBA

AI Driven Machine Learning with Python Specialization

Build Intelligent Models with Python.

Master machine learning theory and projects using Python, TensorFlow, and real-world datasets.

EDUCBA

Instructor: EDUCBA

Access provided by Universidade Aberta

Get in-depth knowledge of a subject

from 13 reviews of courses in this program

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject

from 13 reviews of courses in this program

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply supervised and unsupervised machine learning algorithms using Python and scikit-learn.

  • Build, train, and deploy deep learning models using TensorFlow and real-world datasets.

  • Integrate machine learning workflows into data-driven projects with performance optimization and visualization.

Details to know

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Taught in English

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from EDUCBA

Specialization - 4 course series

Machine Learning with Python: Build & Optimize

Machine Learning with Python: Build & Optimize

Course 1, 9 hours

What you'll learn

  • Prepare and visualize datasets using NumPy, Pandas, Matplotlib, and scikit-learn preprocessing pipelines.

  • Build and evaluate regression, classification, ensemble, and clustering models using Python.

  • Apply PCA and hyperparameter tuning to reduce dimensions and optimize machine learning model performance.

Skills you'll gain

Category: Data Preprocessing
Category: Model Optimization
Category: Model Evaluation
Category: Machine Learning
Category: Dimensionality Reduction
Category: Pandas (Python Package)
Category: NumPy
Category: Matplotlib
Category: Python Programming
Category: Machine Learning Algorithms
Category: Data Wrangling
Category: Unsupervised Learning
Category: Applied Machine Learning
Category: Data Science
Category: Regression Analysis
Category: Scikit Learn (Machine Learning Library)
Category: Predictive Modeling
Category: Data Manipulation
Category: Data Processing
Category: AI Workflows

What you'll learn

  • Apply OpenCV techniques to read, resize, annotate, and prepare images for face detection.

  • Build and train a MobileNetV2-based CNN to classify masked and unmasked faces.

  • Integrate the trained model into an interactive application and deploy it on AWS.

Skills you'll gain

Category: Model Deployment
Category: Application Development
Category: Deep Learning
Category: Computer Vision
Category: Tensorflow
Category: Model Training
Category: Convolutional Neural Networks
Category: Amazon Web Services
Category: Image Analysis
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Preprocessing
Category: Front-End Web Development
Category: Cloud Deployment
Category: Application Design
Category: Python Programming
Machine Learning with Python: Diabetes Prediction

Machine Learning with Python: Diabetes Prediction

Course 3, 3 hours

What you'll learn

  • Set up Anaconda, essential Python libraries, and Jupyter Notebook for machine learning projects.

  • Prepare healthcare data by encoding values and splitting it into training and testing datasets.

  • Build a logistic regression model and evaluate diabetes predictions using ROC curves.

Skills you'll gain

Category: Data Preprocessing
Category: Jupyter
Category: Logistic Regression
Category: Model Evaluation
Category: Diagnostic Tests
Category: Predictive Modeling
Category: Classification Algorithms
Category: Analytics
Category: Health Informatics
Category: Applied Machine Learning
Category: Data Processing
Category: Machine Learning
Category: Data Transformation
Category: Software Installation
Category: Predictive Analytics
Machine Learning with Python: Case Studies

Machine Learning with Python: Case Studies

Course 4, 10 hours

What you'll learn

  • Build and evaluate regression, clustering, and classification models.

  • Prepare, train, and interpret data for predictive modeling.

  • Apply ML techniques to solve real-world business problems.

Skills you'll gain

Category: Logistic Regression
Category: Unsupervised Learning
Category: Classification Algorithms
Category: Feature Engineering
Category: Model Evaluation
Category: Supervised Learning
Category: Regression Analysis
Category: Time Series Analysis and Forecasting
Category: Machine Learning
Category: Statistical Modeling
Category: Statistical Methods
Category: Machine Learning Methods
Category: Risk Modeling
Category: Predictive Analytics
Category: Machine Learning Algorithms
Category: Predictive Modeling
Category: Python Programming
Category: Credit Risk
Category: Model Training
Category: Applied Machine Learning

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Instructor

EDUCBA
EDUCBA
1,708 Courses418,592 learners

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EDUCBA

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Learner reviews across AI Driven Machine Learning with Python

avg. across 4 courses

  • 5 stars

    86.66%

  • 4 stars

    13.33%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    0%

DS
Course: Machine Learning with Python: Build & Optimize

Reviewed on Mar 10, 2026

SK
Course: Machine Learning with Python: Build & Optimize

Reviewed on Mar 15, 2026

CS
Course: Machine Learning with Python: Build & Optimize

Reviewed on Feb 13, 2026