Pinned Repositories
calculus-derivation-gradient-descent-data-science-intro-000
derivative-rules-ds-apply-000
dsc-0-01-03-problems-ds-can-solve-online-ds-pt-100118
dsc-0-01-04-the-ds-process-online-ds-pt-100118
dsc-0-01-05-setting-up-environment-online-ds-pt-100118
dsc-0-01-06-working-with-lessons-on-learn-online-ds-pt-100118
dsc-0-01-08-your-first-data-science-project-lab-online-ds-pt-100118
dsc-0-01-09-strings-lab-online-ds-pt-100118
dsc-0-01-09-strings-online-ds-pt-100118
dsc-0-01-11-numeric-types-online-ds-pt-100118
mshahed89's Repositories
mshahed89/Numpy_Exercise
NumPy is a computational library that helps in speeding up Vector Algebra operations that involve Vectors (Distance between points, Cosine Similarity) and Matrices. Specifically, it helps in constructing powerful n-dimensional arrays that works smoothly with distributed and GPU systems. It is a very handy library and extensively used in the domains
mshahed89/calculus-derivation-gradient-descent-data-science-intro-000
mshahed89/dsc-2-19-08-poisson-distribution-lab-online-ds-pt-100118
mshahed89/dsc-2-19-07-geometric-and-negative-binomial-distribution-lab-online-ds-pt-100118
mshahed89/dsc-2-18-06-html-links-lab-online-ds-pt-100118
mshahed89/dsc-2-18-04-html-intro-lab-online-ds-pt-100118
mshahed89/dsc-2-15-06-http-request-response-cycle-lab-online-ds-pt-100118
mshahed89/dsc-2-19-09-exponential-distribution-online-ds-pt-100118
mshahed89/dsc-2-19-03-statistical-distributions-online-ds-pt-100118
mshahed89/dsc-2-14-06-known-json-schemas-lab-online-ds-pt-100118
mshahed89/dsc-2-14-04-json-and-xml-lab-online-ds-pt-100118
mshahed89/dsc-2-13-11-queries-with-sqlalchemy-lab-online-ds-pt-100118
mshahed89/dsc-2-13-08-using-an-orm-lab-online-ds-pt-100118
mshahed89/dsc-2-13-04-review-using-sqlite-lab-online-ds-pt-100118
mshahed89/dsc-2-18-07-researching-html-elements-online-ds-pt-100118
mshahed89/dsc-2-15-10-yelp-api-gis-lab-online-ds-pt-100118
mshahed89/dsc-2-15-09-accessing-data-from-twitter-lab-online-ds-pt-100118
mshahed89/dsc-2-15-08-Twitter-API-tokens-codealong-online-ds-pt-100118
mshahed89/dsc-2-15-07-apis-and-oauth-online-ds-pt-100118
mshahed89/dsc-2-15-05-http-request-response-cycle-online-ds-pt-100118
mshahed89/dsc-2-15-03-intro-to-APIs-online-ds-pt-100118
mshahed89/dsc-2-15-04-clients-and-servers-online-ds-pt-100118
mshahed89/mshahed89.github.io
mshahed89/dsc-2-14-12-gradient-descent-step-sizes-lab-online-ds-pt-100118
mshahed89/dsc-2-14-04-introduction-to-derivatives-lab-online-ds-pt-100118
mshahed89/dsc-2-13-15-linalg-regression-lab-online-ds-pt-100118
mshahed89/dsc-2-13-13-linalg-lineq-numpy-lab-online-ds-pt-100118
mshahed89/dsc-2-13-11-linalg-python-vs-numpy-lab-online-ds-pt-100118
mshahed89/dsc-2-13-10-linalg-dot-product-properties-lab-online-ds-pt-100118
mshahed89/dsc-2-13-12-linalg-lineq-numpy-codealong-online-ds-pt-100118