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Master in R for Data Science and Machine Learning

#artificialintelligence

Data Science and Machine Learning professionals are currently the highest paid technical profiles. This master is designed to learn from scratch, step by step, until you become an expert. Join this course and become a data scientist!


Python required for AI, Machine Learning & Data Science 2021

#artificialintelligence

Python required for AI, Machine Learning & Data Science 2021 numpy, pandas, matplotlib, seaborn, machine learning, data science, Data Visualization, artificial intelligence, python What you'll learn Description Lets learn basics to transform your career. I promise not to exhaust you with huge number of videos. Welcome to the most comprehensive Python required for Data Science and Machine Learning course! This course of First Step or prerequisite to learn Machine Learning or Data Science. This course covers most popular Python libraries in the world such as collections, numerical pyhton, matplotlib, seaborn and pandas data frames.


Complete Machine Learning Course: Master Machine Learning Algorithms

#artificialintelligence

"Machine learning" and "data science" - two terms that might sound mysterious to someone who has never dealt with these processes before. However, if you have heard about machine learning before, you probably know that it is a process that aims to change the very fundaments of how our society is built... Sounds dramatic? Well, perhaps, but I do have a strong case for that - you'll find it in my machine learning course! Why Choose this Machine Learning Course? Machine learning, as a concept, is indeed a very interesting one.


Lagos Women in Machine Learning & Data Science (Lagos, Nigeria)

@machinelearnbot

Are you a woman interested in Machine Learning and Data Science? We meet to socialize and to discuss machine learning and data science in an informal, vendor-neutral setting. Our purpose is to grow the talent and community of women in these fields. We plan to meet quarterly in the evenings. Topics will include presentations from practitioners about their work in machine learning and data science, talks from academics about their related research, and tutorials.