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- Course platform: Coursera
- Offered by: Lund University
- Level: Beginner
- Price: FREE
- 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: Edureka
- Level: Advanced
- Price: Paid course (with Certificate)
- Class length: Approx. hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners
PROS:
- Overall well-presented modules, materials and homework helps you gain expertise in this domain.
- Comprehensive content and highly knowledgeable instructors.
- Real-life case studies on a project to implement techniques you learn.
- Each module contains practical assignments.
CONS:
- One should be familiar with Basic Understanding of R.
- Length elementary content.
- 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: 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: Edureka
- Lifetime Access
- Level: All Level
- Price: Paid course (with Certificate)
- Class length: Approx. 30 hrs
★★★★★
More details +The score is based on the user experience, rated by the learners
PROS:
- Excellent content will clear your conceptually doubts.
- Good collaboration of practical & theoretical knowledge.
- Systematic, well organized and supportive faculties.
CONS:
- Lengthy elementary content.
- Need brief information about R programming.
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: All Level
- Price: Paid course(with Certificate)
- Class length: Approx.30 hrs.
★★★★★
More details +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 X
- Level: Introductory
- Price: FREE (paid Certificate)
- Class length: Approx. 2 weeks (15-20 hrs/week)
- Course platform: Simplilearn
- Level: Advanced
- Full lifetime access
- Paid course
- Class length: Approx. 68 hrs.
★★★★★
More details +The score is based on the quality of the course content & user experience as rated by the learners
PROS:
- Introductory and interactive course with highly talented trainers.
- Well organized and explanatory information provided.
- Projects will improve your Visualization about Python, Numpy, Pandas.
CONS:
- Lengthy preliminary content
- Course platform: Simplilearn
- Level: Advanced
- Full lifetime access
- Paid course
- Class length: Approx. 64 hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners.
PROS:
- Welcome to beginners.
- Designed in a systematic manner.
- Well organized and explanatory information provided.
CONS:
- Lengthy preliminary content
