Machine Learning with Python – Complete Course & Projects

Machine Learning with Python – Complete Course & Projects
Last updated 8/2024
Duration: 4h 20m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 1.30 GB

Learn Machine Learning Algorithms and their Python Implementations. Learn the core concepts in Machine Learning.

What you’ll learn
– Learn Data Science
– Learn the theories behind the Machine Learning Algorithms
– Learn applying the Machine Learning Algorithms in Python
– Learn feature engineering
– Learn Python fundamentals
– Learn Data Analysis

Requirements
– No requirements. Just willingness to learn is enough.

Description
Python Fundamentals

Pandas Library

Feature Engineering

Evaluation of Model Performances

Supervised vs Unsupervised Learning

Machine Learning Algorithms

The machine learning algorithms that are going to be covered in this course is going to be Linear Regression, Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Decision Tree, Random Forests and K-Means Clustering. If you are interested in Machine Learning and want to learn the algorithms theories and implementations in Python you can enroll into the course. You can always ask questions from course Q&A section. Thanks for reading the course description, have a nice day.

Who this course is for:
– People who wants to learn Machine Learning
– People who wants to learn Python
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