The Machine Learning Series in Python: Level 1

Download The Machine Learning Series in Python: Level 1 in one single click, On our website, you will find free many premium assets like Free Courses, Photoshop Mockups, Lightroom Preset, Photoshop Actions, Brushes & Gradient, Videohive After Effect Templates, Fonts, Luts, Sounds, 3d models, Plugins, and much more. Psdly.com is a free graphics content provider website that helps beginner graphic designers as well as freelancers who can’t afford high-cost courses and other things.

Build a solid foundation in Machine Learning: Linear Regression, Logistic Regression and K-Means Clustering in Python

In this course you will master the foundations of Machine Learning and practice building ML models with real-world case studies. We will start from scratch and explain:

• What Machine Learning is
• The Machine Learning Process of how to build a ML model

• Regression: Predict a continuous number
• Simple Linear Regression
• Ordinary Least Squares
• Multiple Linear Regression
• R-Squared
• Adjusted R-Squared

• Classification: Predict a Category / Class
• Logistic Regression
• Maximum Likelihood
• Feature Scaling
• Confusion Matrix
• Accuracy

• Clustering: Predict / Identify a Pattern
• K-Means Clustering
• The Elbow Method

• We will also do the following the three following practical activities:
• Real-World Case Study: Build a Multiple Linear Regression model
• Real-World Case Study: Build a Logistic Regression model
• Real-World Case Study: Build a K-Means Clustering model

The Course Objectives are the following:
– Get the right basics of how machine learning works and how models are built.
– Understand what is regression.
– Understand the theory behind the linear regression model.
– Know how to build, train and evaluate a linear regression model for a real-world case study.
– Understand what is classification.
– Understand the theory behind the logistic regression model.
– Understand and apply feature scaling including both normalization and standardization.
– Know how to build, train and evaluate a logistic regression model for a real-world case study.
– Understand what is clustering.
– Understand the theory behind the k-means clustering model.
– Know how to build, train and evaluate the k-means clustering model for a real-world case study.

DOWNLOAD LINK: The Machine Learning Series in Python: Level 1

Machine_Learning_in_Python_for_Professionals.part1.rar – 2.0 GB
Machine_Learning_in_Python_for_Professionals.part2.rar – 1.6 GB

FILEAXA.COM – is our main file storage service. We host all files there. You can join the FILEAXA.COM premium service to access our all files without any limation and fast download speed.