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$199.99
  • Udemy
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Python Programming
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$19.99
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  • Udemy
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Paid Course (Paid certificate)
  • English
  • Python
  • Jupyter Notebook
  • Basic Scripting in Python
  • Data Cleaning Python Programming
Learning Experience
8.2
PROS:
  • Well designed course content
  • Every concept is explained very well
  • Programming aspects of each concept can be understood by anyone who has basic knowledge of Python.
CONS:
  • The example code is mostly list based instead of data frame-based
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$19.99
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  • Udemy
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Paid Course (Paid certificate)
  • English
  • Python
  • Google Colab
  • None Pre-requisite
  • Machine learning
Learning Experience
9.2
PROS:
  • Very well explained concepts
  • Sessions are good and informative
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$199.99
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  • Udemy
  • SuperDataScience
  • Online Course
  • Self-paced
  • All levels
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Basic Scripting in Python High School Level Maths
  • Data Science Deep learning Machine learning Neural Networks
The score is based on the user experience, rated by the learners.
Learning Experience
9
PROS:
  • A good overview of some of the different neural networks.
  • Content and course structure is well planned and comprehensive .
  • You will learn variety of Deep Learning algorithms in on place.
CONS:
  • Random introduction of some advanced techniques which are very hard to follow.
  • Need to increase the gist of the concepts.
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  • Udemy
  • 365 Careers
  • Online Course
  • Self-paced
  • All levels
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Micorsoft Excel Tableau
  • None Pre-requisite
  • Big data Data Analysis Data Science Data Science with 'Python' Deep learning Machine learning Practical Statistics Probability TensorFlow
The score is based on the user experience, rated by the learners
Learning Experience
9
PROS:
  • Jam-packed with a good balance of technical and practical information.
  • Extremely eye-catching design and presentation. The way content is delivered on the screen is very attractive.
  • The exercises are very informative, exhaustive and detailed.
  • One can commence without any prior programming experience.
  • Realistic approach, balanced theories and practice.
CONS:
  • Need to expand details on other classifiers such as knn, SVMs and decision trees.
  • Need to add basic mathematics calculus.
  • Lengthy content on topics such as probability and stats.
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$194.99
  • Udemy
  • Lazy Programmer Team Inc.
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Basic Maths Basic Scripting in Python
  • Data Science Data Science with 'Python' Data Visualization Deep learning Machine learning Neural Networks Reinforcement learning TensorFlow
The score is based on the user experience, rated by the learners
Learning Experience
9
PROS:
  • Good instructors narration flow and technical expertise
  • Easily understandable content with high efficiency.
CONS:
  • It should focus on key parts of the tensor flow code.
  • Need to spend more time on basic mathematical background knowledge.
  • Matrix multiplication and some other pillars in linear algebra needs more information.
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$199.99
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Best deal at: Udemy
  • Udemy
  • Lazy Programmer Team Inc.
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Basic Scripting in Python Fundamentals of calculus Machine Learning Basics Probability Basics
  • Artificial intelligence Data Science with 'Python' Feature Engineering Machine learning Reinforcement learning
The score is based on the user experience, rated by the learners
Learning Experience
9.2
PROS:
  • Excellent veteran instructor’s explanation and teaching process.
  • All math is thoroughly explained and ambiguities clarified.
  • It will absolutely clear your theory and math concept.
CONS:
  • Should give focus on more use of animations and visual learning.
  • Need improvement in balance between theory of RL and practical’s.
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  • Udemy
  • Sundog Education
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Basic Scripting in Python High School Level Maths Previous Programming Experience
  • Apache Spark Training Big data Data Mining Data Science Data Science with 'Python' Deep learning Machine learning Natural language processing Practical Statistics Probability
The score is based on the user experience, rated by the learners.
Learning Experience
9
PROS:
  • Commencement from basic maths.
  • Detail implementation to a neural network.
  • Very informative lessons on areas like Deep Learning & Neural networks.
CONS:
  • This course needs to have in-depth exercises.
  • Some DL topics needed better and more in depth explanation of the concepts.
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$79.99
  • Udemy
  • Lazy Programmer Team Inc.
  • Online Course
  • Self-paced
  • Advanced
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Basic Scripting in Python Neural Network Basics TensorFlow Basics
  • Building AI Chatbots Data Science with 'Python' Deep learning Natural language processing TensorFlow
The score is based on the user experience, rated by the learners.
Learning Experience
9
PROS:
  • Awesome tutorial on word embedding (word2vec and glove) techniques.
  • You will find it more advanced than any other course platforms.
  • Focus on demonstration of core parts of algorithm’s.
CONS:
  • Lengthy preliminary content.
  • It should have detail practical information.
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$29.99
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  • Udemy
  • Lazy Programmer Team Inc.
  • Online Course
  • Self-paced
  • Advanced
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Data Science with 'Python' Deep learning TensorFlow
The score is based on the learner ratings/experience, at Udemy.
Learning Experience
9.2
PROS:
  • Covers a wide-range of advanced reinforcement learning topics.
  • Excellent and advanced topics.
  • Good details and manual coding.
  • Concise details about each algorithms.
CONS:
  • Should have more explanation on the theory.
  • Need to improve coding lectures.
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$84.99
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  • Udemy
  • SuperDataScience
  • Online Course
  • Self-paced
  • All levels
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Data Science Data Science with 'R'
The score is based on the user experience as rated by the learners
Learning Experience
9.2
PROS:
  • Commencement from basic maths.
  • The course is very interactive and expects you to code as you go.
  • Course contains brief and easily understandable content.
  • Excellent course for beginners to understand everything in R Programming.
CONS:
  • This course needs to have in-depth exercises.
  • Course should include datasets and exercises practical enough to the real world.
  • Needs explaination on mathematics behind each algorithm.
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$199.99
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Best deal at: Udemy
  • Udemy
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Apache Spark Training Data Science with 'Python' Deep learning Keras Machine learning Natural language processing TensorFlow
The score is based on the user experience as rated by the learners
Learning Experience
9.2
PROS:
  • Great course which covers most of the important concepts of python in Machine learning.
  • It is easy to understand for people that know python & machine learning algorithms.
  • Helpful exercises which helps to get a real world understanding of applying the concepts.
CONS:
  • Some ML topics needed better and more in depth explanation of the concepts.
  • Support vector machines, DL & Big Data topics should have more information.
Best seller
Added to wishlistRemoved from wishlist 0
Add to compare
$199.99
Buy Now
Best deal at: Udemy
  • Udemy
  • SuperDataScience
  • Online Course
  • Self-paced
  • All levels
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Data Science Data Science with 'Python' Data Science with 'R' Deep learning Machine learning Natural language processing
The score is based on the user experience as rated by the learners
Learning Experience
9
PROS:
  • Amazing course for beginners to understand everything in machine learning.
  • Excellent explanation on the process of writing and building of models.
CONS:
  • Course should include datasets and exercises.
  • Needs explaination on mathematics behind each algorithms.
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