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Scikit Learn Courses

Scikit Learn courses can help you learn data preprocessing, model selection, and evaluation techniques, along with supervised and unsupervised learning methods. You can build skills in feature engineering, hyperparameter tuning, and implementing algorithms like decision trees and support vector machines. Many courses also introduce tools such as Jupyter Notebooks and Python libraries, that support applying machine learning concepts and visualizing data to derive actionable insights.

Popular Scikit Learn Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    How Science Turns Data Into Knowledge

    Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Statistical Reporting, Experimentation, Science and Research, Research Design, Analytical Skills, General Science and Research, Research, Peer Review, Probability & Statistics, Journalism, Statistical Inference, Statistical Methods, Media and Communications, Research Methodologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment

    3.2
    Rating, 3.2 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Smarter Scientific Software Development with GitHub Actions

    Skills you'll gain: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Scientific Methods, Software Development, Development Environment, Open Source Technology, Test Automation, Science and Research, Containerization, Automation, Debugging, Scripting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Analyst Capstone Project

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Statistical Visualization, Scientific Visualization, Data Presentation, IBM Cognos Analytics, Data Storytelling, Data Analysis, Dashboard Creation, Data Visualization Software, Dashboard, Jupyter, Statistical Reporting, Scatter Plots, Analytics, Box Plots, Looker (Software), Data Wrangling, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Data Preprocessing, Deep Learning, Python Programming, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    379 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Data Manipulation, Decision Tree Learning, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance

    4
    Rating, 4 out of 5 stars
    ·
    900 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Model Deployment, Model Training, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Data Store, Data Integration, Data Lakes, Model Evaluation, Transfer Learning, Cloud Management, Machine Learning Methods, Machine Learning, Data Processing, Data Preprocessing, Data Pipelines, Data Transformation, Data Manipulation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    621 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N
    G
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Software, Time Series Analysis and Forecasting, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Deep Learning, Portfolio Management

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Data Analysis with Python & R

    Skills you'll gain: Data Visualization, Data Presentation, Generative AI, Version Control, Git (Version Control System), Matplotlib, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), R Programming, Tidyverse (R Package), Ggplot2, Python Programming, Jupyter, Microsoft Visual Studio, GitHub, Statistical Visualization, Data Storytelling, NumPy, Machine Learning Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    677 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • How Science Turns Data Into Knowledge: University of Michigan
  • NLP System Architecture and Dev-Ops: Universidad Austral
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Smarter Scientific Software Development with GitHub Actions: Fred Hutchinson Cancer Center
  • IBM Data Analyst Capstone Project: IBM
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Data Analysis and Interpretation: Wesleyan University
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Machine Learning for Trading: New York Institute of Finance

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