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Explore the Scikit-learn Course Catalog
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University of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
Coursera Project Network
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms
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Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging
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Packt
Skills you'll gain: NumPy, Scientific Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Visualization Software, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software
- Status: NewStatus: Free Trial
Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
- Status: NewStatus: Free Trial
Skills you'll gain: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning
- Status: NewStatus: Preview
Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Large Language Modeling, Prompt Engineering Tools, Generative AI, Unsupervised Learning, PyTorch (Machine Learning Library), Multimodal Prompts, ChatGPT, Keras (Neural Network Library), Data Transformation, Flask (Web Framework), Supervised Learning, Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export
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Skills you'll gain:
- Status: NewStatus: Free Trial
Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
- Status: NewStatus: Free Trial
Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
In summary, here are 10 of our most popular scikit learn courses
- Introduction to Python for Scientific Computing: University of Colorado Boulder
- Logistic Regression with NumPy and Python: Coursera Project Network
- Python: Logistic Regression & Supervised ML: EDUCBA
- Generative AI for Developers: Unit 2: Pearson
- Intro to NumPy: Packt
- Data Science Fundamentals, Part 2: Pearson
- Machine Learning, Data Science and Generative AI with Python: Packt
- From Raw to Ready: Data Preparation in Python: Coursera
- IBM Generative AI Engineering: IBM
- Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt