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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


  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

  • 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, Data Preprocessing, Pandas (Python Package), NumPy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning, Data Preprocessing, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Visualization, Statistical Programming, Seaborn, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Generative AI, Fine-tuning, Keras (Neural Network Library), Large Language Modeling, Model Training, Model Optimization, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    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
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Limpieza de datos para el procesamiento de lenguaje natural

    Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Preprocessing, Data Cleansing, Data Manipulation, Natural Language Processing, Jupyter, Pandas (Python Package), Hypertext Markup Language (HTML), JavaScript Frameworks, Data Collection

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Data Processing, Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial
    Free Trial
    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

1…8910…834

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

  • Statistical Learning for Engineering Part 1: Northeastern University
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Machine Learning with PySpark: Edureka
  • Understanding and Visualizing Data with Python: University of Michigan
  • Practical Deep Learning with Python: Edureka
  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • Limpieza de datos para el procesamiento de lenguaje natural: Universidad Austral
  • Data Processing and Exploration with NumPy & Pandas: Packt
  • Applied Machine Learning with Python: Edureka

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