Python Machine Learning Course

Python is a powerful general-purpose programming language that has been around since the 1980s. It is one of the recommended languages to learn for students who are beginning to learn coding. The aim of this class is to help the students jumpstart their journey in Python. This not only aims to provide basics of Python, but as the course progresses, students will have a chance to transfer to a more advanced Python class.

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Details

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Languages

Python

Start date

Course Schedule

Experience Level

Beginner

Age Level

Middle School

High School

Summary

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

Project development

Some of the sample projects: https://www.siliconvalley4u.com/swatstore