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。

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

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: AI Workflows, Artificial Intelligence
初级 · 课程 · 1-4 周

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

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: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
中级 · 课程 · 1-4 周
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: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
初级 · 课程 · 1-4 周

您将获得的技能: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Probability Distribution, Linear Algebra, Classification Algorithms, Regression Analysis
初级 · 课程 · 1-3 个月

The University of Chicago
您将获得的技能: 机器学习, 无监督学习, 功能工程, Pandas(Python 软件包), 降维, 监督学习, 统计方法, 深度学习, 机器学习算法, 模型评估, Model Evaluation, 回归分析, 随机森林算法, 数据预处理, 分类算法, Keras(神经网络库), Scikit Learn(机器学习库), 张力流, 应用机器学习
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, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
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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