Python Machine Learning Course
SiliconValley4U's Python Machine Learning Course teaches students the skills they need to create intelligent systems and analyze complex data sets using Python. Our experienced instructors provide personalized attention to ensure your success in the course. Enroll now!
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Experience Level
Beginner
Age Level
Middle School
High School
Summary
SiliconValley4U's Python Machine Learning Course teaches students the skills they need to create intelligent systems and analyze complex data sets using Python. Our experienced instructors provide personalized attention to ensure your success in the course. Enroll now!
Introduction to Python Programming
- Overview of Python
- History of Python
- Python Basics – variables, identifiers, indentation
- Data Structures in Python (list, string, sets, tuples, dictionary)
- Statements in Python (conditional, iterative, jump)
- OOPS concepts
- Exception Handling Regular Expression
Introduction to various packages and related functions
- Numpy, Pandas and Matplotlib
- Pandas Module
- Series
- Data Frames
- Numpy Module
- Numpy arrays
- Numpy operations
- Matplotlib module
- Plotting information
- Bar Charts and Histogram
- Box and Whisker Plots
- Heatmap
- Scatter Plots
Data Wrangling using Python
- NumPy – Arrays
- Data Operations (Selection , Append , Concat , Joins)
- Univariate Analysis
- Multivariate Analysis
- Handling Missing Values
- Handling Outliers
Introduction to Machine Learning with Python
- What is Machine Learning?
- Introduction to Machine Learning
- Types of Machine Learning
- Basic Probability required for Machine Learning
- Linear Algebra required for Machine Learning
Supervised Learning - Regression
- Simple Linear Regression
- Multiple Linear Regression
- Assumptions of Linear Regression
- Polynomial Regression
- R2 and RMSE
Supervised Learning – Classification
- Logistic Regression
- Decision Trees
- Random Forests
- SVM
- Naïve Bayes
- Confusion Matrix