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  • Python For Machine Learning

Python for Machine Learning Courses

Python for machine learning courses can help you learn data manipulation, algorithm implementation, model evaluation, and feature selection. You can build skills in data visualization, hyperparameter tuning, and understanding neural networks. Many courses introduce tools like TensorFlow, Scikit-learn, and Pandas, that support applying your skills in real-world projects, enabling you to create predictive models and analyze complex datasets effectively.


Popular Python for Machine Learning Courses and Certifications


  • D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    ★ 4.9 (32K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming

    ★ 4.6 (47) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence

    ★ 4.8 (147K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Generative Model Architectures, IBM Cloud, AI Workflows, LLM Application, Workflow Management, AI literacy, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Artificial Intelligence, Self Service Technologies, Machine Learning, Deep Learning, Data Science

    ★ 4.7 (36K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting

    ★ 4.5 (15) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    ★ 4.6 (309) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Continuous Deployment, Model Evaluation, Data Preprocessing, Model Optimization, Machine Learning, Applied Machine Learning, Data Validation, Data Integrity, Data Maintenance, Data Quality, Data Synthesis, Data Collection, System Monitoring, Continuous Monitoring, Unstructured Data

    ★ 4.8 (3.4K) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    ★ 4.2 (606) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning

    ★ 4.7 (3.6K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Debugging, Programming Principles, Program Development, Computer Programming, Python Programming, Computational Thinking, Software Installation

    ★ 4.8 (233K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • R

    Rice University

    Introduction to Scripting in Python

    Skills you'll gain: Data Visualization Software, File I/O, Data Visualization, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Code Reusability, Data Dictionary, Software Installation, Development Environment, Data Access, Computational Logic, Data Wrangling, Data Structures, Data Analysis

    ★ 4.7 (4.4K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    ★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
1…456…834

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

  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Deep Learning with Python: CNN, ANN & RNN: EDUCBA
  • Deep Learning: DeepLearning.AI
  • AI Foundations for Everyone: IBM
  • Foundations of Machine Learning: Coursera
  • Machine Learning Introduction for Everyone: IBM
  • Machine Learning in Production: DeepLearning.AI
  • MLOps | Machine Learning Operations: Duke University
  • Reinforcement Learning: University of Alberta
  • Programming for Everybody (Getting Started with Python): University of Michigan

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