Python for Data Science and Machine Learning Bootcamp

Learn how to utilize NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more! 

Learn to analyze data, create beautiful visualizations, and use powerful machine learning algorithms with Python for Data Science and Machine Learning Bootcamp. Enroll now in the comprehensive course designed for beginners with some programming experience or experienced developers looking to make the jump to Data Science!

 

What you'll learn

• Use Python for Data Science and Machine Learning
• Use Flash for Enormous Data Examination
• Execute Machine Learning Algorithms
• Learn to involve NumPy for Mathematical Data
• Learn to involve Pandas for Data Investigation
• Learn to involve Matplotlib for Python Plotting
• Learn to involve Seaborn for factual plots
• Use Plotly for intuitive powerful visualizations
• Use SciKit-Learn for Machine Learning Undertakings
• K-Means Grouping
• Calculated Relapse
• Straight Relapse
• Random Forest and Choice Trees
• Regular Language Handling and Spam Channels
• Brain Organizations
• Support Vector Machines

Prerequisites

Some programming experience

Administrator authorizations to download documents

Description

Are you prepared to begin your way to turning into a Data Scientist!

This comprehensive course will be your manual for learning how to utilize the force of Python to analyze data, create beautiful visualizations, and utilize powerful machine learning algorithms!

Data Scientist has been positioned the main occupation on Glassdoor and the typical compensation of a data scientist is more than $120,000 in the US as per For sure! Data Science is a compensating profession that permits you to settle some of the world's most intriguing issues!

This course is designed for both beginners with some programming experience or experienced developers looking to take the leap toward Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, however presently you can learn all that information for a portion of the cost! With north of 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll show you how to program with Python, how to create astounding data visualizations, and how to utilize Machine Learning with Python! Here an only a couple of the subjects we will learn:

Programming with Python

NumPy with Python

Utilizing pandas Data Casings to tackle complex undertakings

Use pandas to handle Succeed Documents

Web scratching with python

Interface Python to SQL

Use matplotlib and seaborn for data visualizations

Use plotly for intelligent visualizations

Machine Learning with SciKit Learn, including:

Straight Relapse

K Closest Neighbors

K Means Grouping

Choice Trees

Random Forests

Regular Language Handling

Brain Nets and Profound Learning

Support Vector Machines

and a whole lot more!

Enroll in the course and become a data scientist today!

 

Who this course is for:

This course is intended for individuals with some programming experience in any event

 

Highlighted Reveiew

Jerry M.

• 4 courses
• 3 surveys
• Rating: 5.0 out of a long time back

This was my most memorable course in Udemy, and with this educator. This was a magnificent five star to jump into the universe of data science. The clarifications were all unmistakable, and you can see the educator genuinely thinks often about programming instruction. It covers every one of the most significant points in machine learning, and gives barely sufficient hypothetical information to have some essential understanding of the algorithms in the background. I'm as of now utilizing some of the information learned (and rehearsed!) around here working.

 

Educator

Jose Portilla

Head of Data Science at Pierian Preparing

• 4.6 Educator Rating
• 1,035,247 Reviews
• 3,336,608 Understudies
• 64 Courses

Jose Marcial Portilla has a BS and MS in Mechanical Designing from St Nick Clara College and long periods of experience as an expert educator and coach for Data Science, Machine Learning and Python Programming. He has distributions and licenses in different fields, for example, microfluidics, materials science, and data science. Throughout the span of his profession he has fostered a range of abilities in dissecting data and he desires to involve his experience in educating and data science to assist other individuals with learning the force of programming, the capacity to analyze data, and the abilities expected to introduce the data in clear and beautiful visualizations. At present he functions as the Head of Data Science for Pierian Preparing and gives face to face data science and python programming instructional classes to representatives working at top organizations, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and some more. Go ahead and look at the site connect to figure out more information about preparing contributions.

 

4.6 course Ratings 130K Reviews

Luis R.

Rating: 5.0 out of 5 seven days prior

 

Jose is extremely careful and devoted. He makes sense of with a simple to-direct speed every single idea in and out, it is basically impossible that you won't learn from him. Extremely detailed situated, content is refreshed and subjects are applicable.

 

Tatsuya M.

Rating: 4.5 out of 53 weeks prior

TM

 

I learned presentation of data science and machine learning without having a lot of earlier information about them. Lectures are comprehensive and activities are valuable to understand the ideas showed in the lectures.

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Accommodating?

 

Sneha R.

Rating: 4.0 out of 5 a month prior

 

The hypothesis of course is great.It would be great in the event that some more undertakings can be incorporated after Segment 25 of the course. I'm as yet not extremely clear with the EDA part so this would have helped me.

 

Seyed Amir M.

Rating: 5.0 out of 5 2 months prior

 

As someone who seldom composes surveys, I feel a sense of urgency to impart my experience to Jose, who is without a doubt perhaps of the best educator I've at any point had. What separates Jose is his capacity to consistently coordinate hypothesis and practice