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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


  • G
    N
    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, Technical Analysis, Deep Learning, Portfolio Management

    ★ 3.8 (1.2K) · Intermediate · Specialization · 1 - 3 Months

  • 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 (1.4K) · Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Data Analyst Capstone Project

    Skills you'll gain: Dashboard, Dashboard Creation, IBM Cognos Analytics, Data Visualization, Data Presentation, Presentations, Data Wrangling, Exploratory Data Analysis, Business Intelligence Software, Statistical Visualization, Data Analysis, Interactive Data Visualization, Microsoft PowerPoint, Data Visualization Software, Data Cleansing, Business Intelligence, Looker (Software), Data Manipulation, Web Scraping, Data Collection

    ★ 4.6 (1.3K) · Advanced · Course · 1 - 3 Months

  • 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 (618) · Intermediate · Professional Certificate · 3 - 6 Months

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

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

  • 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, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric

    ★ 3.9 (379) · Intermediate · Course · 1 - 3 Months

  • 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

  • M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Data Storytelling, Generative AI, Data Presentation, Data Ethics, Interactive Data Visualization, Data Visualization, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Pandas (Python Package), Plotly, Data Manipulation, Generative Model Architectures, Data Transformation, Data Visualization Software, Generative Adversarial Networks (GANs), Data Cleansing, Data-Driven Decision-Making, Data Analysis, Machine Learning

    ★ 4.4 (112) · Beginner · Course · 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 (298) · Intermediate · Guided Project · Less Than 2 Hours

  • N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Model Evaluation

    ★ 3.4 (251) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

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

  • I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking

    ★ 4.3 (62) · Advanced · Course · 1 - 4 Weeks

1…101112…834

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

  • Machine Learning for Trading: Google Cloud
  • Data Analysis and Interpretation: Wesleyan University
  • IBM Data Analyst Capstone Project: IBM
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Foundations of Machine Learning: Coursera
  • Data Analysis and Visualization with Python: Microsoft
  • Principal Component Analysis with NumPy: Coursera
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance

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