What you'll learn:
Describe various types of machine learning algorithms and their usages.
Understanding supervised (classification & regression) and unsupervised learning (clustering) and their applications.
Learn various supervised & unsupervised learning algorithms, such as, KNN, SVM, Simple and Multiple linear regressions, k-means clustering etc.
Various evaluation metrics used for classification and improvising the performance of your model.
Lab exercises with each video topic to write python code that implements these algorithms..
Requirements:
You should know basics of any programming language, but python is preferred.
Description:
This course will begin with a brief introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning and more.You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, Logistic Regression and Support Vector Machines(SVM). You'll also learn about the importance and different types of regression techniques, like simple and multiple linear regression, and how those are helpful to make the predictions. Also, you would learn k-means clustering, a widely used unsupervised learning algorithm.The lab exercises attached to each lecture will help you to digest the information you received via video lessons. To practice the lab exercises is highly recommendable to completely fit the topic into your mind. These exercise materials are downloadable and comprise a notebook file which you can import in Jupyter notebooks or Google Colab, and a python file.A quiz associated to each topic will help you to assess yourself about the level of expertise you achieved on specific topic while pursuing this course. This course will definitely help you to start your new journey into the world of artificial intelligence, which is one of the fastest-growing technologies and undoubtedly a cornerstone of humanity's future.
Who this course is for:
Machine Learning and Data Science enthusiastic.

https://rapidgator.net/file/a65d9f743df586b59c522a631ad5a764/Machine_Learning_with_Python_from_Styrish_AI.rar.html