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  • Scikit Learn

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


  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing

    ★ 3.9 (9) · Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Data Analytics for Digital Transformation

    Skills you'll gain: Digital Transformation, Predictive Modeling, Customer experience strategy (CX), Analytics, Predictive Analytics, Simulations, Simulation and Simulation Software, Advanced Analytics, Business Transformation, Scikit Learn (Machine Learning Library), Model Evaluation, Data-Driven Decision-Making, Operations Research, Internet Of Things, Model Training, Ethical Standards And Conduct, Cloud Computing, Data Ethics, Business Analytics, Process Optimization

    ★ 4.9 (32) · Intermediate · Specialization · 3 - 6 Months

  • U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, File Systems, Data Science, Data Transformation, Information Technology, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    ★ 3.9 (25) · Intermediate · Course · 1 - 3 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

  • L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Model Optimization, Keras (Neural Network Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Methods, Applied Machine Learning, Predictive Modeling, Fine-tuning, Scikit Learn (Machine Learning Library), Regression Analysis, Classification Algorithms, Python Programming

    ★ 3.2 (18) · Intermediate · Course · 1 - 4 Weeks

  • 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

  • U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Methods, Regression Analysis, Model Training, Applied Machine Learning, Predictive Analytics, Model Evaluation, Machine Learning Software, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms, Classification Algorithms, Decision Tree Learning, Responsible AI, Model Optimization, Python Programming

    ★ 4.7 (79) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Model Training, Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Natural Language Processing, Data Preprocessing, Social Media Analytics, Unstructured Data, Classification Algorithms, Python Programming, Applied Machine Learning, Machine Learning, Automation

    ★ 4.6 (374) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Model Training & Evaluation

    Skills you'll gain: Model Training, Model Optimization, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

1…456…9

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

  • Machine Learning: O.P. Jindal Global University
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Data Analytics for Digital Transformation: Dartmouth College
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Neural Networks and Random Forests: LearnQuest
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Modelos predictivos con aprendizaje automático: Universidad de los Andes
  • NLP: Twitter Sentiment Analysis: Coursera

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