Python for Data Science and Machine Learning Bootcamp by Jose Portilla

Description

Python for Data Science and Machine Learning Bootcamp by Jose Portilla

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What you’ll discover

Python is useful for data science and machine learning.
Make use of Spark for Big Data Analysis.
Use Machine Learning Algorithms
Learn how to use NumPy to manipulate numerical data.
Discover how to utilize Pandas for Data Analysis.
Discover how to use Matplotlib for Python plotting.
Learn how to use Seaborn to create statistical charts.
Plotly may be used to create interactive dynamic visuals.
For Machine Learning, use SciKit-Learn. Tasks
Logistic Regression using K-Means Clustering
Regression Linear
Decision Trees and Random Forests
Spam Filters with Natural Language Processing
Artificial Neural Networks
Support Vector Machines (SVMs)

Are you ready to embark on your journey to become a Data Scientist?
This thorough course will teach you how to leverage Python’s capabilities to analyze data, generate stunning visualizations, and employ sophisticated machine learning techniques!
According to Indeed!, the average income of a data scientist in the United States is more than $120,000, making it the number one job on Glassdoor. Data Science is a rewarding profession that allows you to address some of the world’s most intriguing challenges!
This course is intended for both novices with some programming expertise and experienced developers interested in transitioning to Data Science!
This thorough course is equivalent to other Data Science bootcamps, which often cost thousands of dollars, but you can now study all of that stuff for a fraction of the price! This is one of the most comprehensive data science and machine learning courses on Udemy, with over 100 HD video lectures and complete code notes for each topic!
We’ll show you how to program in Python, generate stunning data visualizations, and apply Machine Learning with Python! Here are just a handful of the subjects we will cover:
Python is a programming language.
Python and NumPy
The use of pandas Data Frames are used to tackle difficult problems.
To work with Excel files, use pandas.
Python for web scraping
Join Python and SQL
For data visualization, use matplotlib and seaborn.
Plotly may be used to create interactive visuals.
Machine Learning with SciKit Learn includes the following features:
K Linear Regression Neighbors in the Neighborhood
K stands for Clustering Decision Trees.
Forests at Random
Processing of Natural Language
Deep Learning and Neural Nets
Support Vector Machines, among other things!
Enroll in the course now to become a data scientist!

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Python for Data Science and Machine Learning Bootcamp by Jose Portilla

$19.00