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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


  • C

    Coursera

    Generative AI with Vertex AI: Build a customer chatbot

    Skills you'll gain: Cloud API, Google Cloud Platform, Text Mining, Application Programming Interface (API), LLM Application, Large Language Modeling, Generative AI, Prompt Engineering, Natural Language Processing, Jupyter, Python Programming, Classification Algorithms

    ★ 4.1 (7) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Forecasting, Machine Learning Algorithms, Case Studies, Algorithms

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Pixels, Waveforms & Words: Engineering Multimodal AI Systems

    Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning

    Intermediate · Specialization · 3 - 6 Months

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

    Dartmouth College

    Prescriptive Analytics

    Skills you'll gain: Operations Research, Analytics, Business Analytics, Process Optimization, Digital Transformation, Data-Driven Decision-Making, Model Optimization, Strategic Decision-Making, Data Science, Feature Engineering, Complex Problem Solving, Model Evaluation, Python Programming, Decision Making, Mathematical Software, Cloud Computing

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Advanced RNN Concepts and Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Training, Model Evaluation, Data Preprocessing

    Advanced · Course · 1 - 3 Months

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

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra

    ★ 4.4 (92) · Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods

    ★ 4.3 (833) · Intermediate · Specialization · 3 - 6 Months

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

    Pearson

    Generative AI for Developers: All you need to know!

    Skills you'll gain: Prompt Engineering, GitHub Copilot, ChatGPT, Responsible AI, Vibe coding, Prompt Engineering Tools, Prompt Patterns, Multimodal Prompts, Generative AI, OpenAI API, Generative Model Architectures, AI Workflows, Application Development, AI Integrations, Web Applications, Scripting, Python Programming, Test Script Development, GitHub, Jupyter

    Intermediate · Specialization · 1 - 4 Weeks

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

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Decision Intelligence, Model Evaluation, Model Optimization, Data-Driven Decision-Making, Applied Machine Learning, A/B Testing, Statistical Machine Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Machine Learning Algorithms, Performance Analysis, Statistical Analysis, Regulatory Requirements

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Apply Natural Language Processing Techniques in Python

    Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning, Machine Learning

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    ★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

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

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality

    ★ 4.7 (685) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…727374…834

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

  • Generative AI with Vertex AI: Build a customer chatbot: Coursera
  • Introduction to Linear Regression Training : Simplilearn
  • Pixels, Waveforms & Words: Engineering Multimodal AI Systems: Coursera
  • Prescriptive Analytics: Dartmouth College
  • Advanced RNN Concepts and Projects: Packt
  • Machine Learning Basics: Sungkyunkwan University
  • Recommender Systems: University of Minnesota
  • Generative AI for Developers: All you need to know!: Pearson
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Apply Natural Language Processing Techniques in Python: EDUCBA

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