Logistic Regression 课程可以帮助您学习统计建模、假设检验和系数解释。您可以掌握评估模型性能、理解几率比以及应用 Regularization 等技术提高准确性的技能。许多课程都会介绍 R、Python 等工具和 Scikit-learn 等专项库,展示这些技能如何用于分析医疗保健、金融和营销等各个领域的 Binary 结果。

University of Minnesota
您将获得的技能: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Sprint Planning, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting, Quality Control
初级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference
混合 · 课程 · 1-4 周

IIT Roorkee
您将获得的技能: Unsupervised Learning, Supervised Learning, Data Preprocessing, Anomaly Detection, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, Classification Algorithms, Statistical Programming, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks
初级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
中级 · 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

您将获得的技能: Lean Six Sigma, Organizational Change, Lean Methodologies, Six Sigma Methodology, Organizational Leadership, Project Scoping, Root Cause Analysis, Statistical Analysis, Statistical Methods, Process Improvement, Process Analysis, Quality Improvement, Continuous Quality Improvement (CQI), Process Capability, Statistical Hypothesis Testing, Data Analysis, Kanban Principles, Waste Minimization
混合 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
中级 · 课程 · 1-3 个月

Fractal Analytics
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Business Intelligence, Data Quality, Business Process Automation, Data Analysis, Business Ethics, Business Analytics, Emerging Technologies, Artificial Neural Networks, Machine Learning, Deep Learning, Data Science, Python Programming, Predictive Modeling, Unsupervised Learning
初级 · 课程 · 1-3 个月

您将获得的技能: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Software, Statistical Analysis, Model Evaluation, Plot (Graphics)
混合 · 课程 · 1-4 周

您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing
中级 · 课程 · 1-4 周

您将获得的技能: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API), Data Analysis
中级 · 项目 · 不超过 2 小时