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Ajmal's Projects

coursera-advanced-algorithms-and-complexity-1 icon coursera-advanced-algorithms-and-complexity-1

This course talks about networks flows which are used in more obvious applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. It then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, findin

coursera-algorithms icon coursera-algorithms

Programming Assignments (Algorithms, Part I and II by Kevin Wayne, Robert Sedgewick)

coursera-algorithms-1 icon coursera-algorithms-1

The homework assignments of 'Algorithms' (Part I and Part II) from Princeton University in Coursera

coursera-bioinformatics icon coursera-bioinformatics

My solution to Bioinformatics Specialization (Finding Hidden Messages in DNA; Genome Sequencing; Comparing Genes, Proteins, and Genomes; Molecular Evolution; Genomic Data Science and Clustering; Finding Mutations in DNA and Proteins; Bioinformatics Capstone: Big Data in Biology)

coursera-data-science-specialization icon coursera-data-science-specialization

This repo contains all projects from the courses within the Data Science Specialization from Johns Hopkins University, on Coursera. The projects were required to achieve the certificate and were all evaluated on each course.

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..

coursera-deep-learning-specialization-1 icon coursera-deep-learning-specialization-1

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

coursera-deeplearning.ai-gans-specialization icon coursera-deeplearning.ai-gans-specialization

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

coursera-devops-professional-certificate icon coursera-devops-professional-certificate

IBM DevOps and Software Engineering Professional Certificate Launch your DevOps and Software Engineering Career. Master DevOps, Agile, Scrum, CI/CD and Cloud Native with hands-on job-ready skills.

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