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[ FreeCourseWeb ] Udemy - Python for Machine Learning bootcamp

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[ FreeCourseWeb.com ] Udemy - Python for Machine Learning bootcamp
 

Download More Latest Courses Visit
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Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 19:58:34 
Genre:
eLearning | Language: English + Subtitles | Size: 8.03 GB 

Learn to create Machine Learning Algorithms in
Python from Zero to Hero 
What you'll learn 
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 

Requirements 
Have a computer (either Mac, Windows, or Linux) 
No prior knowledge of Python is required. 
No previous programming experience is needed. 

Description 
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. 

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We upload these learning
materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge
but do not have the financial support to afford the materials. If you like this content and if you are truly in a
position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it!
Because always remember, without "Them", you and we won't be here having this conversation. Think about it!
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