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4.3 out of 5
4.3
200 reviews on Udemy

Python for Machine Learning bootcamp

Learn to create Machine Learning Algorithms in Python from Zero to Hero
Instructor:
behi school code
22,376 students enrolled
English [Auto-generated]
Become a professional Python Developer and get hired
Master modern Python 3 fundamentals as well as advanced topics
Learn Object Oriented Programming
Learn Machine Learning with Python
Learn Function Programming
Create data visualizations using matplotlib and the seaborn modules with python.
Use the pandas module with Python to create and structure data.
Use the Jupyter Notebook Environment.
Use the numpy library to create and manipulate arrays.
Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Make powerful analysis

Interested in the field of Machine Learning ? Then this course is for you !

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:

01 – Python basic

02 – Object-Oriented Programming

03 – Numpy

04 – Matplotlib

05 – Panda

06 – Data Visualization  – Plotly and Cufflinks

07 – Data Visualization in Pandas

08 – Seaborn

09 – In troduction to Machine Learning 

10 – Linear Regression

11 – Logistic Regression Titanic Dataset

12 – KNN algorithm

13 – SVM

14 – Decision Tree Classifier and Regressor

15 – Random Forest Classifier and Regressor

16 – K-Mean Clustering

17 – Principal Component Analysis (PCA)

18 – Ensemble Learning

19 – Learning Curve

20 – Python Interview Questions

Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes  Python  code templates which you can download and use on your own projects.

Python for Machine Learning bootcamp
2572860 7c69 3 460x259 - Python for Machine Learning bootcamp

Interested in the field of Machine Learning ? Then this course is for you !

Course Provider: Organization

Introduction

1
Welcome!!!
2
Introduction to Python
3
How to Install Python on Windows

Python Basic Programming

1
Variables in Python - Tokens in Python
2
Operators in Python
3
Data types in Python with Example (1)
4
Data types in Python with Example (2)
5
Flow Control in Python
6
How to Create Functions in Python
7
Lambda in Python
8
File Handling in Python

OOPs

1
introduction to OOP
2
classes and objects
3
__init__()
4
demo test
5
Inheritance In Python
6
Inheritance supper function
7
Overriding and Overloading
8
encapsulation
9
Private Method
10
Polymorphism

Numpy

1
Working File
2
Numpy List and Array
3
Numpy dtype and shape
4
Numpy np.nan and np.inf
5
Numpy Statistical operations
6
Numpy sequence and repetitions
7
random numbers
8
more about numpy
9
read and write csv file
10
concat with row and col wise
11
sort a numpy array
12
working with dates
13
Numpy Advanced Function - vectorize

Matplotlib

1
Working File
2
Introduction to this module
3
Matplotlib getting started
4
Subplot
5
objet oriented plots
6
Subplots
7
change figure size
8
legend label and name
9
style and color
10
plot range
11
types of plots
12
log scale
13
ticks
14
formatter

Panda

1
Introduction to Panda
2
series object Panda
3
DataFrame in Panda
4
merge join and concatenate
5
importing and analyzing the Dataset
6
cleaning the Dataset

Seaborn

1
Working File
2
introduction to Seaborn
3
import data
4
relplot part 1
5
relplot part 2
6
relplot part 3
7
relplot part 4
8
relplot part 5
9
lineplot
10
scatterplot
11
catplot
12
boxplot
13
boxenplot
14
violin
15
barplot and
16
Visualizing Distribution of the Data
17
Linear Regression and Relationship (regplot and lmplot)
18
Controlling Ploted Figure Aesthetics

Data Visualization - Plotly and Cufflinks

1
Working File
2
introduction
3
imports and Set-up
4
working with plotly
5
line plot
6
scatter plot
7
bar plot
8
box plot
9
area
10
3D surface
11
spread
12
histogram
13
bubble
14
heatmap

Data Visualization in Panda

1
Working File
2
introduction and agenda
3
import data frame
4
line plot
5
bar plot
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

20 hours on-demand video
16 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion
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