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  • Python Machine Learning

Python Machine Learning Courses

Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.


Popular Python Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Statistical Visualization, Predictive Modeling, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Data Science, Predictive Analytics, Data Manipulation, Deep Learning, Data Wrangling, Machine Learning, Model Evaluation, Regression Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Code Reusability, Programming Principles, Data Import/Export, Scripting, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning, Functional Design

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Plot (Graphics), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Training, Model Evaluation, Model Optimization, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Production Machine Learning Systems - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Data Validation, Google Cloud Platform, Tensorflow, Model Optimization, Systems Architecture, Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Hybrid Cloud Computing

    Advanced · Course · 1 - 3 Months

  • 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: Preview
    Preview
    G

    Google Cloud

    BigQuery Machine Learning für Inferenzen nutzen

    Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, Data Preprocessing, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Data Preprocessing, Model Deployment, Data Management, Data Governance, Data Processing, AI Workflows, Metadata Management, Google Cloud Platform, Workflow Management, Tensorflow, Model Optimization, Applied Machine Learning, Data Pipelines, AI Orchestration, Model Evaluation, Predictive Modeling, Machine Learning, Containerization

    Intermediate · Course · 1 - 3 Months

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

  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Medical Insurance Premium Prediction with Machine Learning: Coursera
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Production Machine Learning Systems - Português Brasileiro : Google Cloud
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College

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