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Results for "logistic+regression"
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics
Johns Hopkins University
Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Analysis, Statistical Inference, Advanced Analytics, Statistical Modeling, Predictive Modeling, Data Analysis
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning, Data Validation, Predictive Modeling, Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Jupyter, Pandas (Python Package), Performance Metric
Wesleyan University
Skills you'll gain: Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Statistical Hypothesis Testing
Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms
Coursera Project Network
Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Algorithms
DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Data Manipulation, Statistical Modeling, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis
Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Cleansing, Sampling (Statistics)
In summary, here are 10 of our most popular logistic+regression courses
- Regression Models: Johns Hopkins University
- Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
- Multiple Regression Analysis in Public Health : Johns Hopkins University
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Probabilistic Graphical Models 1: Representation: Stanford University
- Supervised Machine Learning: Regression: IBM
- Regression Modeling in Practice: Wesleyan University
- Statistics with SAS: SAS
- Probabilistic Graphical Models: Stanford University
- Logistic Regression with NumPy and Python: Coursera Project Network