Machine Learning with Python Basics (For Beginners)

You will Learn the Basics of Machine Learning with Python step by step (First Step For Beginners)

Steps of Machine Learning that you Will learn:

Machine Learning Course Contents:

What is Machine Learning - Types of Machine Learning (Supervised & Unsupervised).
Linear Regression with One Variable.
Linear Regression with One Variable (Cost Function - Gradient Descent).
Linear Regression with Multiple Variable.
Logistic Regression (Classification).
Logistic Regression (Cost Function - Gradient Descent).
Logistic Regression (Multiclass).
Regularization Overfitting.
Regularization (Linear and Logistic Regression).
Neural Network Overview.
Neural Network (Cost Function).
Advice for Applying Machine Leaning.
Machine Learning Project 1
Machine Learning Project 2

Python Basics Course Contents:

Notes:

You will Learn the basics of Machine Learning.
You will learn the basics of python.
You will need to setup Anaconda.
You will need to setup python & PyCharm
This course is considered as first step for the Machine Learning.
You can ask anytime.
No Programming Experience Needed for this course.
Python for Data Science and Machine Learning is a great course that you can take to learn the implementation of ML models in Python.
This course considered as step one in the Machine Leaning, You will learn the concept of the Machine Learning with python basics.