Explore Python's core fundamentals, essential for effective data exploration, using Jupyter notebooks.
Excel has reached its limit. Learn the power of code and artificial intelligence to manage big data sets and go faster in your job.
At the end of this skill course, you will:
Explore Python's core fundamentals, essential for effective data exploration, using Jupyter notebooks. Learn data manipulation with Pandas, descriptive statistics, and interactive visualizations with Plotly. Transform your notebooks into web apps with Voilà and Binder effortlessly.
Understand the key concepts of machine learning and gain insight into the crucial stages of artificial intelligence algorithm development. Learn to anticipate and mitigate algorithmic bias, ensuring responsible and ethical AI implementation.
Work on your own data or conduct an end-to-end analysis on one of the cases we've prepared with our partners. Apply the skills and knowledge acquired throughout this training.
Our training courses are product-oriented and focus on practice. You will learn how to build web applications or data projects while adopting the technical workflow followed by successful tech companies. At the end of the course, you will have a portfolio of projects and ready-to-use skills.
This is aworkshop that is a prerequisite for the Lip Blush Class, Eyeliner Class and Power, Ombre, Nano Brow Class
Knowledge of Excel, SQL, Python, and/or R, as well as statistics and probability, is crucial for you to be successful in this course.
In the first part of this machine learning course, students get started in machine learning by implementing powerful supervised learning algorithms in Python using its allied packages, providing limited theoretical concepts and practical awareness of important learning algorithms.
Unlock the value of data and ultimately transform business models, industries, and work experiences. As an authorized learning partner of AWS, Google, and Microsoft, we offer each vendor's official data science, artificial intelligence (AI), and machine learning (ML) training curriculum.
The machine learning course is the perfect one for data analysts, junior data scientist, and python engineers who want to develop ML project experience, learn various industry use cases, and become a data scientist.
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