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- Course platform: Coursera
- Offered by: Lund University
- Level: Beginner
- Class length: Approx. 24 hours
★★★★★
More details +The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Good course with comprehensive lessons
- Necessary for improving academic writing
- Get an idea on presenting research paper
- Essential for preparing for next education development
CONS:
- Needs more exercises and quizes
- Basic course, expecting practicing critical writing
- Course platform: Udemy
- Level: Advanced/Expert
- Full lifetime access
- Price: Paid Course (with certificate)
- Class length: Approx. 11 hrs.
★★★★★
More details +The score is based on the learner ratings/experience, at Udemy.
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.
- Course platform: Coursera
- Offered by: IBM
- Level: Advanced
- Subtitles in 5 languages
- Flexible deadlines.
- Class length: Approx. 27 hours
★★★★★
More details + $79.00
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Career changer course, giving you hands-on experience.
- Learn theory behind signal processing
- Good course content and nice visualization
CONS:
- Audio quality of guest lectures needs improvement
- As the course level is advanced, comparatively coding assignments are much easy.
- Course platform: Udemy
- Level: Intermediate
- Full lifetime access
- Price: Paid course
- Class length: Approx. 13hrs
★★★★★
More details +The score is based on the user experience, rated by the learners
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.
- Course platform: Codecademy
- Level: Beginner
- Price: Paid course (With Certificate)
- Class Length Approx. 10 weeks
- Course platform: Codecademy
- Level: Beginner
- Price: Paid course (With Certificate).
- Class Length Approx. 35weeks
- Course platform: Simplilearn
- Level: Beginner
- Full lifetime access
- Paid course
- Class length: Approx. 4 hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners.
PROS:
- No need to have any programming or IT background.
- Designed in a systematic manner.
- Courses are well structured with self-learning, live classes, and assessments.
CONS:
- Lengthy preliminary content
- It should have detail practical information.
- Course Platform: Udacity.
- Level: Advanced
- Flexible deadlines
- Price: Paid Course.
- Class length: Approx. < 6Months.
★★★★★
More details +The score is based on the user experience, rated by the learners.
PROS:
- Program is comprehensive with all the required data.
- Transparent explanations and the exercises helps a lot to understand the content.
- Commencement with fundamental algorithm(math) before you implement it.
CONS:
- Need to add more related lessons for each algorithm.
- You should be familiar with SQL programming and statistics.
- Hands-on with wrangling and visualizing data.
Best seller 
- Course platform: Udemy
- Level: All Levels
- Full lifetime access
- Price: Paid course (With Certificate)
- Class Length: Approx. 29 hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners
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.
- Course platform: Edureka
- Lifetime Access
- Level: Intermediate
- Price: Paid course (with Certificate)
- Class length: Approx. hrs.
★★★★★
More details + $119.00
The score is based on the user experience, rated by the learners
PROS:
- Well presented module with good pace.
- Overall course material, description and homework will let you gain expertise in this domain.
- Constant updation on courses with 24X7 support with instant response from faculties.
CONS:
- Need to update more information on topics such as Statistical Inference.
- Course platform: Edureka
- Lifetime Access
- Level: All Level
- Price: Paid course(with Certificate)
- Class length: Approx.30 hrs.
★★★★★
More details + $389.00
The score is based on the user experience, rated by the learners
PROS:
- Well-structured programs and project submissions.
- Good overview and insight on the real world application.
- Interactive training method and interesting content.
CONS:
- This course needs to have in-depth exercises.
- Need more description for the topics- Linear regression & data mining
- Course platform: EDX
- Offered by: HARVARD University
- Level: Beginner/Introductory
- Price: FREE (paid Certificate)
- Class length: Approx. 8 weeks (2-4 hrs/week)
