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Machine Learning with Python

This program will teach you what it is, and you will begin to become a guru for learning the machine.


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6 Hours

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This program will teach you what it is, and you will begin to become a guru for learning the machine.

Course Information

About this course:

If you are plugged into the technology sector, you will understand that over the past couple of years 2 things have made steady waves in many areas; machine learning and Python. What occurs if you merge the latest gold standard programming language with the most important software advancement in areas like digital marketing, online search, financial trading, and also (among others) data and personal security? Nice stuff, that's what it is. This program will teach you what it is, and you will begin to become a guru for learning the machine.

Learn the New Future of Programming:

· Figure out how Python uses Machine Learning

· Built on complex data and logic structures

· Explain what machine learning is and what it can do

· Develop machine learning mechanism from the scratch

Increase Your Python Expertise:

If you want to understand machine learning principles and have some prior python or programming experience, then this training is great for you. When you are more of a novice than an intermediate, don't worry; each tutorial begins describing upcoming concepts with the theory. Once you're at ease, a computer walkthrough will bring your awareness into action.

The purpose of this program is to create process machine learning from scratch. Writing programming from start helps learners to gain a more in-depth overview of data processing, and when each machine learning app is developed, explications and feedback are presented to help students grasp why things are done in certain ways. By code walkthrough also shows the real-time build process.

The program starts with an overview of conceptual machine learning, after which you can create the first machine learning app. Thereafter, we study at linear algebra, data analysis, clustering, and natural language processing all in Python.


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Subjects Big Data
Lab Access No
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Beginner
Course Duration 6 Hours
Language English

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Course Expert:


Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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