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Numpy

필터링 기준

"numpy"에 대한 113개의 결과

University of Michigan
Applied Data Science with Python
획득할 기술: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science
4.5
(32.9k개의 검토)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
IBM Data Science
획득할 기술: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Statistical Visualization, Database Application, Extract, Transform, Load, Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Computer Programming, Database Administration, Geovisualization, Plot (Graphics), Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing
4.6
(105.9k개의 검토)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Data Analysis with Python
획득할 기술: Basic Descriptive Statistics, Data Analysis, Data Science, Python Programming, Applied Machine Learning, Data Mining, Data Structures, General Statistics, Machine Learning, Regression, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algebra, Business Analysis, Computer Programming, Computer Programming Tools, Correlation And Dependence, Econometrics, Mathematical Theory & Analysis, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Statistical Programming
4.7
(16.2k개의 검토)
Beginner · Course · 1-3 Months
Imperial College London
Mathematics for Machine Learning
획득할 기술: Mathematics, Algebra, Linear Algebra, Machine Learning, Python Programming, Probability & Statistics, General Statistics, Calculus, Computer Programming, Applied Mathematics, Mathematical Theory & Analysis, Statistical Programming, Algorithms, Dimensionality Reduction, Regression, Theoretical Computer Science, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Networking, Deep Learning, Differential Equations, Experiment, Machine Learning Algorithms, Network Model
4.6
(13.4k개의 검토)
Beginner · Specialization · 3-6 Months
University of Michigan
Introduction to Data Science in Python
획득할 기술: Basic Descriptive Statistics, Python Programming, Data Analysis, Data Structures, Data Mining, Exploratory Data Analysis, Statistical Analysis, Correlation And Dependence, Statistical Tests, Data Architecture, Estimation, General Statistics, Linear Algebra, Regression, Statistical Visualization, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Programming Principles, Statistical Programming, Theoretical Computer Science
4.5
(26.5k개의 검토)
Intermediate · Course · 1-4 Weeks

numpy과(와) 관련된 검색

linear regression with numpy and python

regresión logística con numpy y python

logistic regression with numpy and python

principal component analysis with numpy

statistical analysis using python numpy

python for data analysis: pandas & numpy

analyzing video with opencv and numpy

logistic regression with python and numpy

요약하자면, 여기에 가장 인기 있는 numpy 강좌 10개가 있습니다.

Applied Data Science with Python: University of Michigan
IBM Data Science: IBM Skills Network
Expressway to Data Science: Python Programming: University of Colorado Boulder
Data Analysis with Python: IBM Skills Network
Python for Data Analysis: Pandas & NumPy: Coursera Project Network
Python Packages for Data Science: University of Colorado Boulder
Mathematics for Machine Learning: Imperial College London
Data Analysis Using Python: University of Pennsylvania
Introduction to Data Science in Python: University of Michigan
Linear Regression with NumPy and Python: Coursera Project Network