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Data Structures and Algorithms in Python

Data Structures and Algorithms in Python

0

A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments. Enroll now to start learning.Watch live hands-on coding-focused video tutorialsPractice coding with cloud Jupyter notebooksSolve questions from real programming interviewsEarn a verified certificate of accomplishmentThe course is self-paced and there are no deadlines. There are no prerequisites for this course.

Jovian
selfpaced
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Data Analysis with Python: Zero to Pandas

Data Analysis with Python: Zero to Pandas

0

"Data Analysis with Python: Zero to Pandas" is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.Watch hands-on coding-focused video tutorialsPractice coding with cloud Jupyter notebooksBuild an end-to-end real-world course projectEarn a verified certificate of accomplishmentThe course is self-paced and there are no deadlines. There are no prerequisites for this course.

Jovian
selfpaced
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Deep Learning with PyTorch: Zero to GANs

Deep Learning with PyTorch: Zero to GANs

0

"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Enroll now to start learning.Watch live hands-on tutorials on YouTubeTrain models on cloud Jupyter notebooksBuild an end-to-end real-world course projectEarn a verified certificate of accomplishmentThe course is self-paced and there are no deadlines. There are no prerequisites for this course.Course PrerequisitesProgramming basics (functions & loops)Linear algebra basics (vectors & matrices)Calculus basics (derivatives & slopes)No prior knowledge of deep learning required

Jovian
24 weeks long, 2-3 hours a week
selfpaced
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Machine Learning with Python: Zero to GBMs

Machine Learning with Python: Zero to GBMs

0

"Machine Learning with Python: Zero to GBMs" is a practical and beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python. This is a self-paced course where you can:Watch hands-on coding-focused video tutorialsPractice coding with cloud Jupyter notebooksBuild an end-to-end real-world course projectEarn a verified certificate of accomplishmentInteract with a global community of learnersYou will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world dataset.

Jovian
selfpaced
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