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Python for Machine Learning bootcamp

Posted By: Sigha
Python for Machine Learning bootcamp

Python for Machine Learning bootcamp
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 8.03 GB
Genre: eLearning Video | Duration: 20 hour | Language: English + .srt

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.

Who this course is for:

Anyone who wants to master Python 3
Anyone looking to level up their skills and master a new programming language
Anyone who wants to get into: Machine Learning, Data Science and other hot job markets
hose who know Python basics and want to master Python
Any people who want to create added value to their business by using powerful Machine Learning tools.

Python for Machine Learning bootcamp


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