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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.

Popular Applied Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Learning Theory, Productivity, Growth Mindedness, Mental Concentration, Creativity, Self-Awareness, Habit Formation, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Unit Testing, Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Data Import/Export, Python Programming, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Generative AI Agents, Docker (Software), Agentic systems, Generative AI, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Scientific Visualization, Machine Learning, Model Training, Statistical Machine Learning, Data Mining, Statistical Methods, Algorithms, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, OpenShift, Istio, Kubernetes, Test Driven Development (TDD), Application Deployment, Devops Tools, Gherkin (Scripting Language), Jenkins, Agile Software Development, Scrum (Software Development), DevOps, Secure Coding, Grafana, System Monitoring, Agile Methodology

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Methods, Model Optimization, Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Model Training, Dimensionality Reduction, Machine Learning, Embeddings, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

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

  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Applied Software Engineering Fundamentals: IBM
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera

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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