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

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.

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Taught in English

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

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: Tensorflow
Category: Application Development
Category: Convolutional Neural Networks
Category: Deep Learning
Category: Computer Vision
Category: Model Training
Category: Model Deployment
Category: Application Design
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Image Analysis
Category: Data Preprocessing
Category: Cloud Deployment
Category: Interactive Design
Category: Amazon Web Services
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: Jupyter
Category: Data Preprocessing
Category: Model Evaluation
Category: Logistic Regression
Category: Machine Learning Methods
Category: Machine Learning
Category: Data Transformation
Category: Software Installation
Category: Data Processing
Category: Analytics
Category: Classification Algorithms
Category: Applied Machine Learning
Category: Data Validation
Category: Health Informatics
Category: Predictive Modeling
Category: Predictive Analytics
Category: Diagnostic Tests
Machine Learning with Python: Case Studies

Machine Learning with Python: Case Studies

Course 4, 10 hours

What you'll learn

  • Apply regression, clustering, and classification algorithms to real-world datasets using Python.

  • Prepare data, engineer features, and train predictive models for forecasting and credit risk analysis.

  • Evaluate and interpret model performance using visualizations, confusion matrices, and AUC curves.

Skills you'll gain

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

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Instructor

EDUCBA
EDUCBA
1,719 Courses436,300 learners

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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