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  • Scikit Learn Machine Learning Library

Results for "scikit learn (machine learning library)"


  • P

    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization

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

  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    ★ 4.7 (417) · Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Machine Learning Methods, Applied Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning

    Mixed · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Performance Management, Applied Machine Learning, Business Strategy, Risk Mitigation, Systems Integration, Stakeholder Communications

    ★ 4.4 (53) · Mixed · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Machine Learning Software, Machine Learning Methods, Model Training, Applied Machine Learning, Deep Learning, Data Processing, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Fine-tuning, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning Foundations

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Model Training, Machine Learning Methods, Dimensionality Reduction, Data Preprocessing, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Optimization, Recurrent Neural Networks (RNNs), Classification Algorithms

    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

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning

    ★ 4.2 (57) · Intermediate · Guided Project · Less Than 2 Hours

  • O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Data-Driven Marketing, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Machine Learning Methods, AI Personalization, Customer Insights, Machine Learning, Model Deployment, Predictive Modeling, Machine Learning Algorithms, Python Programming, Personalized Service, Model Training, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis, Model Evaluation

    ★ 4.8 (6) · Advanced · Course · 1 - 4 Weeks

1…567…834

In summary, here are 10 of our most popular scikit learn (machine learning library) courses

  • Generative AI for Developers: Unit 2: Pearson
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Databricks ML in Action: Packt
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Machine Learning with Python & Statistics: EDUCBA
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Machine Learning with Implementation in Java: Board Infinity
  • Machine Learning Foundations: Packt
  • Logistic Regression with NumPy and Python: Coursera
  • Breast Cancer Prediction Using Machine Learning: Coursera

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