Machine Learning with Python
- 1.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- Machine Learning using Python
- Fundamentals Python programming
This is the bite size course to learn Python Programming for Machine Learning and Statistical Learning. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage.
You will need to know some Python programming, and you can learn Python programming from my "Create Your Calculator: Learn Python Programming Basics Fast" course. You will learn Python Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.
I will create Applied statistics using Python for data understanding stage and advanced data visualizations for data understanding stage and includes some data processing for data preparation stage in future.
Getting Started 2
Getting Started 3
Getting Started 4
Data Mining Process
Download Data set
Read Data set
Simple Linear Regression
Build Linear Regression Modela: Train and Test set
Build and Predict Linear Regression Models
KMeans Clustering in Python
Agglomeration Clustering in Python
Decision Tree ID3 ALgorithm
Decision Tree in Python
KNN in Python
Naive Bayes Classification
Naive Bayes in Python
Neural Network Classification
Neural Network in Python
What Algorithm to Use?
Model Evaluation using Python for Classification
Model Evaluation using Python for Regression
- Beginner Data Scientist or Analyst interested in Python programming