Python 机器学习课程可以帮助您学习数据操作、算法实现、模型评估和 Feature Selection。您可以掌握数据 Visualization、超参数调整和理解 Neural Network 的技能。许多课程都会介绍 TensorFlow、Scikit-learn 和 Pandas 等工具,这些工具支持将您的技能应用到实际项目中,使您能够创建预测模型并有效分析复杂的数据集。

IBM
您将获得的技能: 时间序列分析和预测, 统计方法, 统计分析, 模型评估, 降维, 预测建模, Jupyter, 数据预处理, 无监督学习, 预测, 数据转换, Pandas(Python 软件包), 应用机器学习, 深度学习
中级 · 课程 · 1-4 周

Wesleyan University
您将获得的技能: 数据操作, 机器学习, 数据叙事, 统计方法, 统计分析, 描述性统计, 数据管理, Data Management, 数据展示, 决策树学习, 统计, 模型评估, 相关性分析, 逻辑回归, 数据分析, 探索性数据分析, 统计软件, 数据可视化, 回归分析, 分类与回归树 (CART), 统计假设检验
初级 · 专项课程 · 3-6 个月

University of Pennsylvania
您将获得的技能: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence
中级 · 课程 · 1-4 周

您将获得的技能: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
初级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Python 程序设计, 数据结构, 数据操作, 文件输入/输出, 面向对象编程(OOP), 软件包和软件管理, 计算逻辑, 编程原则, 生物信息学, Jupyter
混合 · 课程 · 1-4 周

IBM
您将获得的技能: 概率与统计, Machine Learning 方法, 张力流, 模型评估, 人工神经网络, 回归分析, 逻辑回归, 分类算法, 数据预处理, 预测建模, 深度学习, PyTorch(机器学习库)
中级 · 课程 · 1-3 个月

Universidade de São Paulo
您将获得的技能: Debugging, Computational Thinking, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms
初级 · 课程 · 1-3 个月

您将获得的技能: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
中级 · 课程 · 3-6 个月

您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
中级 · 课程 · 1-3 个月