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Scikit-Learn Courses

Scikit-learn courses can help you learn data preprocessing, model selection, classification techniques, and regression analysis. You can build skills in evaluating model performance, feature engineering, and implementing machine learning pipelines. Many courses introduce tools like Jupyter Notebooks and Python libraries, that support applying these skills in practical projects.

Popular Scikit-Learn Courses and Certifications


  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    ★ 4.5 (831) · Beginner · Guided Project · Less Than 2 Hours

  • A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    ★ 3.6 (25) · Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Austral

    Introducción al procesamiento de lenguaje natural

    Skills you'll gain: Natural Language Processing, Data Processing, Data Preprocessing, Text Mining, AI Orchestration, Pandas (Python Package), Analysis, AI Workflows, Big Data, Process Modeling, Unstructured Data, File Management, Classification Algorithms

    ★ 4.4 (27) · Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Model Training, Image Analysis, Data Processing, Scientific Visualization, Data Transformation, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

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

  • G

    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment

    ★ 4 (20) · Beginner · Project · Less Than 2 Hours

  • S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    ★ 3.7 (9) · Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture, Model Training

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training

    ★ 4.6 (233) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Predictive Modeling, Data Science, Machine Learning, Python Programming

    ★ 4.6 (22) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Harnessing Open Source LLMs and ChatGPT with Minimal Code

    Skills you'll gain: ChatGPT, OpenAI API, Model Deployment, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Application Deployment, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Package and Software Management, User Interface (UI), Data Science

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular Scikit-learn courses

  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Introduction to Machine Learning with Python: Arizona State University
  • Introducción al procesamiento de lenguaje natural: Universidad Austral
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
  • Machine Learning Algorithms: Sungkyunkwan University
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Classification Trees in Python, From Start To Finish: Coursera
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • Exploratory Data Analysis & Core ML Algorithms: Packt

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