Machine Learning with Python

Machine Learning with Python

Python Crash Course

• Introduction to Python Crash Course
• Python Crash Course – Part 1 – Basics
• Python Crash Course – Part 2 – OOPS concepts
• Python Crash Course – Part 3 – Modules
• Python Crash Course – Part 4 – Final
• Python Crash Course Exercises – Overview
• Python Crash Course Exercises – Solutions

Data Structures or Collections

• Introduction
• Importance of Data structures
• Applications of Data structures
• Types of Collections
• Sequence
• Strings, List, Tuple, range
• Non sequence
• Set, Frozen set, Dictionary
• Strings
• What is string
• Representation of Strings
• Processing elements using indexing
• Processing elements using Iterators
• Manipulation of String using Indexing and Slicing
• String operators
• Methods of String object
• String Formatting
• String functions
• String Immutability
• Case studies

List Collection

• What is List
• Need of List collection
• Different ways of creating List
• List comprehension
• List indices
• Processing elements of List through Indexing and Slicing
• List object methods
• List is Mutable
• Mutable and Immutable elements of List
• Nested Lists

Python for Data Analysis-NumPy

• Introduction to Numpy
• Numpy Arrays
• Quick Note on Array Indexing
• Numpy Array Indexing and Operations
• Numpy Exercises Overview and Solutions

Python for Data Analysis-Pandas

• Introduction to Pandas
• Series
• Data Frames – Part 1 Introduction
• Data Frames – Part 2 Organizing
• Data Frames – Part 3 Set up
• Missing Data
• Group by
• Merging Joining and Concatenating
• Operations
• Data Input and Output

Python for Data Analysis-Pandas Exercises

• Salaries Exercise Overview
• Note on SF Salary Exercise
• SF Salaries Solutions
• E-commerce Purchases Exercise Overview
• E-commerce Purchases Exercise Solutions

Python for Data Visualization-Matplotlib

• Introduction to Matplotlib
• Matplotlib Part 1 Set up
• Matplotlib Part 2 Plot
• Matplotlib Part 3 Next steps
• Matplotlib Exercises Overview
• Matplotlib Exercises – Solutions

Python for Data Visualization-Seaborn

• Introduction to Seaborn
• Distribution Plots
• Categorical Plots
• Matrix Plots
• Regression Plots
• Grids
• Style and Color
• Seaborn Exercise Overview
• Seaborn Exercise Solutions

Python for Data Visualization-Pandas Built-in Data Visualization

• Pandas Built-in Data Visualization
• Pandas Data Visualization Exercise
• Pandas Data Visualization Exercise- Solutions

Introduction to Machine Learning

• Link for ISLR
• Introduction to Machine Learning
• Machine Learning with Python

Linear Regression

• Linear Regression Theory
• Model selection Updates for SciKit Learn
• Linear Regression with Python – Part 1 Introduction
• Linear Regression with Python – Part 2 Deep Dive
• Linear Regression Project Overview and Project Solution

Logistic Regression

• Logistic Regression Theory – Introduction
• Logistic Regression with Python – Part 1 – Logistics
• Logistic Regression with Python – Part 2 – Regression
• Logistic Regression with Python – Part 3 – Conclusion
• Logistic Regression Project Overview and Project Solutions

K Nearest Neighbours

• KNN Theory
• KNN with Python
• KNN Project Overview and Project Solutions

Decision Trees and Random Forests

• Introduction to Tree Methods
• Decision Trees and Random Forest with Python
• Decision Trees and Random Forest Project Overview
• Decision Trees and Random Forest Solutions Part 1
• Decision Trees and Random Forest Solutions Part 2

Support Vector Machines

• SVM Theory
• Support Vector Machines with Python
• SVM Project Overview
• SVM Project Solutions

K Means Clustering

• K Means Algorithm Theory
• K Means with Python
• K Means Project Overview
• K Means Project Solutions

Principal Component Analysis

• Principal Component Analysis
• PCA with Python

Recommender Systems

• Recommender Systems
• Recommender Systems with Python – Part 1 The Foundation
• Recommender Systems with Python – Part 2 Deep Dive

Natural Language Processing

• Natural Language Processing Theory
• NLP with Python
• NLP Project Overview
• NLP Project Solutions

Big Data and Spark with Python

• Big Data Overview
• Spark Overview
• Local Spark Set-Up
• AWS Account Set-Up
• Quick Note on AWS Security
• EC2 Instance Set-Up
• SSH with Mac or Linux
• PySpark Setup
• Lambda Expressions Review
• Introduction to Spark and Python
• RDD Transformations and Actions

Neural Nests and Deep Learning

• • Neural Network Theory
  • Welcome to the Deep Learning Section!
  • What is TensorFlow?
  • Changes with TensorFlow
  • TensorFlow Installation
  • TensorFlow Basics
  • MNIST with Multi-Layer Perceptron
  • TensorFlow with ContribLearn
  • Tensorflow Project Exercise Overview