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Description The course is created on the basis of three pillars of learning: Know (Study) Do (Practice) Review (Self feedback) Know We have created a set of concise and comprehensive videos to teach you all
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Description Learning how to program in Python is not always easy especially if you want to use it for Data science. Indeed, there are many of different tools that have to be learned to be
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Description Machine Learning & Predictive Models in R |Theory & Practice My course will be your complete guide to the theory and applications of Machine Learning (supervised & unsupervised) using the R-programming language. Unlike other
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Description You’re looking for a complete Support Vector Machines course that teaches you everything you need to create a SVM model in R, right? You’ve found the right Support Vector Machines techniques course! How this course will help
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Description You’re looking for a complete Course on Deep Learning using Keras and Tensorflow that teaches you everything you need to create a Neural Network model in Python and R, right? You’ve found the right Neural Networks course!
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Description If you are looking to start your career in machine learning then this is the course for you. This is a course designed in such a way that you will learn all the concepts
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Description Detecting Objects and finding out their names from images is a very challenging and interesting field of Computer Vision. The core science behind Self Driving Cars, Image Captioning and Robotics lies in Object Detection.
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Description In this course, you’ll going to learn about recommendation system. Also known as recommender engines. According to Netflix, there 70% of the videos seen by recommending the videos to the user. Not only Netflix,
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Description Every data scientist is aware that, sometime or another, they’ll need to show off their progress and results. And there couldn’t be a bigger fear than not having your algorithm run on another computer
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Description Course Covers six topics. Basic Commands of python and important packages Data Manipulations with python Basic Statistics Data Visualizations with python packages Data Validation and Cleaning in Python Python Objects and Functions We assume
