This training tutorial is a … 1,276,922 already enrolled! Signing up for either us completely free. Problem Set files from edX MITx 6.00.1x Introduction to Computer Science and Programming Using Python - slgraff/edx-mitx-6.00.1x 6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. Those who earn a passing grade will get an honor code certificate from MITx. MITx 6.00.1x - Introduction to Computer Science and Programming Using Python - Course provided by edX - Prof. Eric Grimson - mayur1711/MITx-6.00.1x Learn everything from python fundamentals to advanced subjects and topics. This course will cover Chapters 1-5 of the textbook "Python for Everybody". Representation, over-fitting, regularization, generalization, VC dimension; Clustering, classification, recommender problems, probabilistic modeling, reinforcement learning; On-line algorithms, support vector machines, and neural networks/deep learning. Sign in or register and then enroll in this course. MITx's Computational Thinking using Python Introduction to Computer Science and Programming Using Python An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. edX Coupon Code 2020: Get 100% verified edX Coupons to get up to $150 discount on educational videos and content.. edX courses are better way to learn Python, Micromasters, Data Science, Machine Learning, Digital Marketing, Python for data science, AWS, Azure, Blockchain and much more along with certificate. Sign in or register and then enroll in this course. edX-sponsored course, MIT 6.00.1x. One of the most popular courses in edX's history - with over 1 million people enrolled - is back. Earning a verified certificate of completion costs a small fee and may entail completing additional assessments. It was one of the very first MOOCs offered by MIT on the edX platform. 6.00.1x Introduction to Computer Science and Programming Using Python from MIT on edX python computer-science edx mitx mitx600 Updated Aug 25, 2019 Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning, Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models, Choose suitable models for different applications. Since it was conceived as an online offering in 2012, the MITx massive open online course (MOOC), Introduction to Computer Science using Python, has become the most popular MOOC in MIT history with 1.2 million enrollments to date. -- Part of the MITx MicroMasters program in Statistics and Data Science. -2. “This course is designed to help students begin to think like a computer scientist,” says Grimson. You should be familiar with the basics of programming before starting 6.01. This course is archived, which means you can review course content but it is no longer active. ... MIT. Learn computer science and programming using Python from the instructors at MIT. Anyone with moderate computer experience should be able to master the materials in this course. Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering. Please see the edX FAQ for more information about certificates. Delta Electronics Professor in the Department of Electrical Engineering and Computer Science, Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society, Pursue a Verified Certificate to highlight the knowledge and skills you gain, MITx MicroMasters Program in Statistics and Data Science, College-level single and multi-variable calculus. Learn more about MITx, our global learning community, research and innovation, and new educational pathways. This is a repo dedicated to help those who are taking MIT's edX course : 6.00.1x-Introduction to Computer Science and Programming! There is an amazing course for beginners in Data Science on edX by MIT: Analytics Edge. Even if you took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll now to refresh your learning. It requires a Python interpreter (>= 2.7) and very few other dependencies. Once a student completes this course, they will be ready to take more advanced programming courses. Sign in or register and then enroll in this course. ⭐⭐⭐⭐ Rating: 4 out of 5. The Python Tutorial is an optional part of 6.01. The material is great - the assignments are plentiful and I think its great practice - my only problem is that its in R-and I have decided to focus more on python. I received my Bachelor of Applied Science in 2007 from the University of British Columbia in Canada. 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