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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.


More to explore:

Popular Applied Machine Learning Courses and Certifications


  • C

    Coursera

    Optimize Spark Performance & Throughput

    Skills you'll gain: Apache Spark, Performance Tuning, PySpark, Database Management, Resource Allocation, Process Optimization, Scalability, Performance Analysis, Job Analysis, Debugging, System Configuration

    Intermediate · Course · 1 - 4 Weeks

  • A

    Alex Genadinik

    Business Strategy And Business Model Innovation - 2026

    Skills you'll gain: Business Modeling, Business Strategy, Business Planning, Entrepreneurship, Business Process, Innovation, E-Commerce, Business Systems, Value Propositions, Financial Planning, Customer Relationship Management

    Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze Capital Markets Using Economic and Valuation Models

    Skills you'll gain: Financial Market, Equities, Capital Markets, Economics, Investment Management, Business Valuation, Market Analysis, Portfolio Management, Financial Analysis, Market Dynamics, Econometrics, Analysis, Forecasting, Asset Management

    Beginner · Course · 1 - 4 Weeks

  • U

    University of London

    Finding Your Professional Voice: Confidence & Impact

    Skills you'll gain: Oral Expression, Public Speaking, Verbal Communication Skills, Assertiveness, Self-Awareness, Communication, Personal Attributes, Composure, Interpersonal Communications, Executive Presence, Emotional Intelligence, Respiration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Build and Modernize Applications With Generative AI

    Skills you'll gain: Generative AI, Serverless Computing, Development Testing, AI Enablement, Cloud Applications, Application Development, Web Analytics and SEO, Embeddings, Software Development Tools, Information Architecture, Code Review, Test Case, MLOps (Machine Learning Operations), Web Development Tools, Query Languages, Computer Programming Tools, Integrated Development Environments, Secure Coding, Debugging, Containerization

    4.1
    Rating, 4.1 out of 5 stars
    ·
    43 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Advanced iOS Development with Swift, Gestures & APIs

    Skills you'll gain: Apple iOS, iOS Development, Swift Programming, Application Lifecycle Management, Mobile Development, UI Components, Application Development, Application Programming Interface (API), Data Persistence, User Interface (UI), Web Services, Programming Principles, JSON, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Prompt Engineering Generative AI & LLM Models Fundamentals

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, Retrieval-Augmented Generation, Natural Language Processing, Model Evaluation, Data Cleansing, Transfer Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Toronto

    GIS, Mapping, and Spatial Analysis

    Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Analyze Predictor Impact Using Regression in Minitab

    Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Design a Pavilion in SketchUp: 3D Modeling Case Study

    Skills you'll gain: SketchUp (3D Modeling Software), Visualization (Computer Graphics), 3D Modeling, Conceptual Design, Design Thinking, Layout Design, Spatial Analysis

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular applied machine learning courses

  • Optimize Spark Performance & Throughput: Coursera
  • Business Strategy And Business Model Innovation - 2026: Alex Genadinik
  • Analyze Capital Markets Using Economic and Valuation Models: EDUCBA
  • Finding Your Professional Voice: Confidence & Impact: University of London
  • Build and Modernize Applications With Generative AI: Google Cloud
  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Advanced iOS Development with Swift, Gestures & APIs: EDUCBA
  • Prompt Engineering Generative AI & LLM Models Fundamentals: Whizlabs
  • GIS, Mapping, and Spatial Analysis: University of Toronto

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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