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Machine Learning with Python Basics (For Beginners)


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Machine Learning with Python Basics (For Beginners)
Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 50 lectures (5h 52m) | Size: 1.51 GB


Learn the Basics of Machine Learning with Python (First Step For Beginners)

What you'll learn
You Will learn basic concept of Machine Learning, Types of Machine Learning
You Will learn basic concept of Linear Regression With One Variable & Multiple
You Will learn basic concept of Logistic Regression
You Will learn basic concept of Regularization (Linear and Logistic Regression)
You Will learn basic concept of Neural Network
Machine Learning Projects
Requirements
Description

Steps of Machine Learning that you Will learn
Import the data.
Split data into Training & Test.
Create a Model.
Train The Model.
Make Predictions.
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 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
How to print
Variables
Receive Input from User
Type Conversion
String
Formatted String
String Methods
Arithmetic Operations
Math Functions
If Statement
Logical Operators
Comparison Operators
While
For Loops
Nested Loops
List
2D List
List Methods
Tuples
Unpacking
Dictionaries
Functions
Parameters
Keyword Arguments
Return Statement
Try - Except...

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