Scikit-learn 课程可以帮助您学习数据预处理、模型选择和 Evaluation 技术,以及监督和非监督学习方法。您可以掌握特征工程、超参数调整以及决策树和支持向量机等算法的实施技能。许多课程还介绍了 Jupyter Notebook 和 Python 库等工具,这些工具支持应用机器学习概念和 Visualization 数据,以获得可行的见解。
Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
中级 · 课程 · 1-4 周

Packt
您将获得的技能: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting
中级 · 课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), 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, Scalability, Performance Tuning, Performance Metric
初级 · 课程 · 1-4 周

您将获得的技能: AI Workflows, Artificial Intelligence
初级 · 课程 · 1-4 周

您将获得的技能: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Programming Principles, Databases, Game Design, Development Environment, Data Science, Web Applications, Animation and Game Design, Application Frameworks, Scripting, Scripting Languages, Software Design Patterns, Functional Design, Data Validation
中级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 开放源码技术, 云计算, 统计编程, Git(版本控制系统), 开发环境, 数据可视化软件, GitHub, 应用编程接口 (API), 云平台, 其他编程语言, Python 编程, 数据科学, R 程序设计, 计算机编程工具, Jupyter, 数据分析软件
初级 · 课程 · 1-3 个月

Illinois Tech
您将获得的技能: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression
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中级 · 课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Predictive Modeling, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
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初级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
混合 · 课程 · 1-3 个月

Illinois Tech
您将获得的技能: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
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中级 · 课程 · 1-3 个月