Steps of Machine Learning that you Will learn:
Import the data.
Split data into Training & Test.
Create a Model.
Train The Model.
Evaluate and improve.
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 (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:
How to print
Receive Input from User
Try - Except
You will learn the basics of Machine Learning.
You will learn the basics of python.
You will need to set up Anaconda.
You will need to setup python & PyCharm
This course is considered the first step in Machine Learning.
You can ask anytime.
No Programming Experience is 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 is considered step one in Machine Leaning, You will learn the concept of Machine Learning with python basics.