2 in 1: Python Machine Learning PLUS 30 Hour Python Bootcamp
Learn model building, algorithms, data science PLUS 30 hours of step by step coding, libraries, arguments, projects +++
4.31 (208 reviews)
1,575
students
45 hours
content
Nov 2024
last update
$64.99
regular price
What you will learn
Define what Machine Learning does and its importance
Learn the different types of Descriptive Statistics
Apply and use Various Operations in Python
Explore the usage of Two Categories of Supervised Learning
Learn the difference of the Three Categories of Machine Learning
Understand the Role of Machine Learning
Explain the meaning of Probability and its importance
Define how Probability Process happen
Discuss the definition of Objectives and Data Gathering Step
Know the different concepts of Data Preparation and Data Exploratory Analysis Step
Define what is Supervised Learning
Differentiate Key Differences Between Supervised,Unsupervised,and Reinforced Learning
Explain the importance of Linear Regression
Learn the different types of Logistic Regression
Learn what is an Integrated Development Environment and its importance
Understand the factors why Developers use Integrated Development Environment
Learn the most important factors on How to Perform Addition operation and close Jupyter Notebook
Discuss Arithmetic Operation in Python
Identify the different Types of Built-in-Data Types in Python
Learn the most important considerations of Dictionaries-Built-in Data types
Explain the usage of Operations in Python and its importance
Understand the importance of Logical Operators
Define the different types of Controlled Statements
Be able to create and write a program to find maximum number
Differentiate the different types of range functions in Python
Explain what is Statistics, Probability and key concepts
Introduction to Python
Date and Time in Python
Sets and Trigonometry
Logarithmic in Python
Arrays in Python
Round off, and Complex Numbers
Strings in Python
Strings, ord, and chr
Lists in Python
Tuples in Python
Multiple Sequences
Loops and List in Python
Appending Sequences
Comprehension in Python
List, Item and Iterators
Zip and Attributes in Python
Mapping in Python
dir Attributes
Zip and Map Operator
Printing Dictionaries Items
Arguments and Functions in Python
Sequences in Python
Defining Functions
Changer Function
def in Python
Knownly Type of a Function
def Statementdef Statement
String Code, and Sum Tree
Sum Tree
Echo and Lambda Function
Schedule Function
def and Reducing Function in Python
for and if in Range
def Saver and ASCII, and Exception
Get Attributes and Decorator in Python
Turtle and Compilation
Logging and HTTP
Make Calculator
Binary Numbers in Python
Countdown Time in Python
Size and Path of a File
Data Visualization
Pandas Library
Encoding and Decoding in Python
Shelve in Python
Screenshots
Related Topics
4541086
udemy ID
2/8/2022
course created date
4/17/2022
course indexed date
Bot
course submited by