What You'll Learn
- What is Python Data Science and Workflow?
- Control Flow: Conditionals and Loops
- Understanding Arrays and Matrices
- Data Cleaning and Preparation
- Merging and Joining Data
- Subplots and Figures
- Measures of Central Tendency
- Measures of Variability
- Normal, Binomial, and Other Distributions
- Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
- Handling Imbalanced Data
- Linear and Logistic Regression
- Sentiment Analysis
Requirements
- No prior knowledge is required!
Who This Course is For
- Anyone who want to learn master Python for data science.
- Python developers looking to specialize in data analysis and machine learning.
Your Instructor
Sara Academy
Programmer | Android Developer | Web Designer | Instructor
4.2 Instructor Rating
11,721 Reviews
334,428 Students
33 Courses
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