Interpreting Data Using Statistical Models with Python
git.ir
Interpreting Data Using Statistical Models with Python
This course covers techniques from inferential statistics, including hypothesis testing, t-tests, and Pearson’s chi-squared test, along with ANOVA, which is used to analyze effects across categorical variables and the interaction between variables.
2020年8月15日
Python Data Structures
Data Structures with Python Cheat Sheet
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intellipaat.com
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Introduction to Python Data Structures for beginners
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git.ir
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Python Data Structures and Algorithms Online Class | LinkedIn Learning, formerly Lynda.com
Python Data Structures and Algorithms Online Class | LinkedIn Learning, formerly Lynda.com
linkedin.com
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Designed for anyone with interest in data science, this course will give you a complete data science training that covers statistics, mathematics, python and machine & deep learning. Here are some more details of what you'll learn: 1. How to code in Python for statistical analysis, perform linear and logistic regressions 2. How to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn 3. How to unfold the power of deep neural networks 4. How to pre-process data S
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