Data Science
Description
Curriculum
- 20 Sections
- 20 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Introduction to Python for Data Science1
- Basic Python for Data Science1
- Stats1
- Probability & Probability Distribution Function1
- Normal Distribution, z score & confidence interval1
- Hypothesis Testing z test1
- Hypothesis Testing t test, chi square test & ANNOVA1
- Central Limit Theorem1
- Pandas for Data Science1
- Data Visualization for Data Science1
- Machine Learning Workflow1
- Feature Engineering Part I1
- Feature Engineering Part II1
- Linear Regression Mathematical Intuition1
- Linear Regression Implementation1
- Logistic Regression Loss Function Part 11
- Logistic Regression Loss Function 21
- KNN Classifier1
- Performance Metrics1
- SVM1
Instructor
31 Students12 Courses
Reviews
Price
Free
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