This course covers the main aspects of the H2O package for data science in Python. If you take this course, you can do away with taking other courses or buying books on Python-based data science as you will have the keys to a very powerful Python supported data science framework. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in machine learning, neural networks, and deep learning via a powerful framework, H2O in Python, you can give your company a competitive edge and boost your career to the next level!
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- Access 27 lectures & 3 hours of content 24/7
- Use the Python/Anaconda environment for practical data science
- Learn the important concepts associated with supervised & unsupervised learning
- Implement supervised & unsupervised learning on real-life data
- Implement Artificial Neural Networks (ANN) & Deep Neural Networks (DNN) on real-life data
This is a complete neural network and deep learning training with PyTorch in Python. It’s a full 6-hour PyTorch Bootcamp that will help you learn basic machine learning, how to build neural networks and explore deep learning using one of the most important Python Deep Learning frameworks. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and the advent of frameworks such as PyTorch is revolutionizing deep learning. By gaining proficiency in PyTorch, you can give your company a competitive edge and boost your career to the next level.
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- Access 52 lectures & 6 hours of content 24/7
- Learn implement deep learning models with PyTorch
- Implement PyTorch based deep learning algorithms on imagery data
- Configure the Anaconda Environment for getting started with PyTorch
- Implement common machine learning algorithms for Image Classification
This course is your complete guide to practical image processing and computer vision tasks using Python. It covers the important aspects of Keras and Tensorflow (Google’s powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Tensorflow and Keras based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal, and the advent of Tensorflow and Keras is revolutionizing Deep Learning. By gaining proficiency in Keras and Tensorflow, you can give your company a competitive edge and boost your career to the next level.
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- Access 61 lectures & 5 hours of content 24/7
- Get started with the Python data science environment
- Read in image data into the Jupiter/iPython environment
- Carry out basic image pre-processing & computer vision tasks with Python
- Implement Unsupervised Learning Algorithms on image data
This is a full 3-hour Python Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks, and deep learning using one of the most important Deep Learning frameworks—Keras. This course is your complete guide to the practical machine and deep learning using the Keras framework in Python. This means, this course covers the important aspects of Keras (Google’s powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Keras based data science.
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- Access 35 lectures & 3 hours of content 24/7
- Get started with Jupyter notebooks for implementing data science techniques
- Understand the basics of Keras syntax
- Create artificial neural networks & deep learning structures with Keras
This course is designed to equip you to use some of the most important R data wrangling and visualization packages such as dplyr and ggplot2. You’ll discover data visualization concepts in a practical manner that will help you apply them for practical data analysis and interpretation. You’ll also be able to determine which wrangling and visualization techniques are best suited to specific problems.
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- Access 51 lectures & 6 hours of content 24/7
- Read in data into the R environment from different sources
- Carry out basic data pre-processing & wrangling in R Studio
- Learn to identify which visualizations should be used in any given situation
- Build powerful visualizations & graphs from real data
With 39 lectures, this course will tackle the most fundamental building block of practical data science—data wrangling and visualization. It will take you from a basic level of performing some of the most common data wrangling tasks in R with two of the most important R data science packages, Tidyverse and Dplyr. It will introduce you to some of the most important data visualization concepts and techniques that will suit and apply to your data.
- Access 39 lectures & 4 hours of content 24/7
- Read-in data into the R environment from different sources
- Learn how to use some of the most important R data wrangling & visualization packages such as Dpylr and Ggplot2
- Carry out basic data pre-processing & wrangling in R studio
- Gain proficiency in data pre-processing, wrangling & data visualization in R
Python is a high-level statically typed programming language that has become a trendsetter in the industry. It offers easy syntax and wide support for APIs and external packages. Python is extremely versatile it can be used for automation, GUI Applications, making websites, making web apps, and even for hacking! In this course, you are going to learn the basics of Python Programming so that you can start your journey by working with this programming language.
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- Access 13 lectures & 1 hour of content 24/7
- Understand the Python programming language
- Know the basic functions of Python
- Learn how Python programming works
- Know some of the basic yet essential applications of Python
The way the course is made is really done to help you learn all the basics of this programming language. From installing your text editor to writing your first lines of code to create your small apps everything is structured to help you achieve your goal of learning how to program in python. This course also teaches many python functions and formulas and gives a complete understanding of those. The goal is really to help you have a complete understanding of this programming language. Indeed, the hardest part is not to learn the language but to think like a programmer and this is exactly what this course is going to teach you.
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- Access 29 lectures & 5 hours of content 24/7
- Learn how to use Python 3 the right way
- Understand complex functions in Python
- Be able to use Python on a daily basis
- Create your own basic programs with Python
This course is structured in a way that you will be able to learn each tool separately and practice by programming in python directly with the use of those tools. Indeed, you will first learn all the mathematics that is associated with Data Science. This means that you will have a complete introduction to the majority of important statistical formulas and functions that exist. You will also learn how to set up and use Jupyter as well as Pycharm to write your Python code. After, you are going to learn different Python libraries that exist and how to use them properly. Finally, you will have an introduction to machine learning and learn how a machine learning algorithm works. All this in just one course.
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- Access 51 lectures & 7 hours of content 24/7
- Understand the basics of python programming
- Learn all the basic mathematical concepts
- Master the basics of Data Science & how to perform it using Python
- Use different python tools specialised for data science
- Improve your python programming by integrating new concepts
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