discrete-math-python-scriptsPython code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Stars: ✭ 98 (+276.92%)
Mutual labels: coursera
Deep-Learning-Specialization-CourseraDeep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
Stars: ✭ 75 (+188.46%)
Mutual labels: coursera
data-science-learning📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
Stars: ✭ 32 (+23.08%)
Mutual labels: coursera
statsrCompanion package for the Coursera Statistics with R specialization
Stars: ✭ 67 (+157.69%)
Mutual labels: coursera
CourseDownloaderGUI app for downloading whole online courses with folder structure from one url
Stars: ✭ 20 (-23.08%)
Mutual labels: coursera
ml-andrewng-pythonThis is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.
Stars: ✭ 48 (+84.62%)
Mutual labels: coursera
codappsA course to learn how to code a mobile app - for complete beginners
Stars: ✭ 14 (-46.15%)
Mutual labels: coursera
coursera-machinelearningStanford University - Machine Learning by Andrew Ng
Stars: ✭ 82 (+215.38%)
Mutual labels: coursera
coursera-testcoursera-task
Stars: ✭ 17 (-34.62%)
Mutual labels: coursera
Coursera-Crash-Course-on-PythonPart of Google IT Automation with Python Professional Certificate. Solutions of Practice Quiz and Module Graded Assessments
Stars: ✭ 118 (+353.85%)
Mutual labels: coursera
Robotics--CourseraCourses by University of Pennsylvania via Coursera
Stars: ✭ 48 (+84.62%)
Mutual labels: coursera
Coursera-CertificationsA repository to showcase my completed courses on the Coursera platform.
Stars: ✭ 20 (-23.08%)
Mutual labels: coursera
start-machine-learningA complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Stars: ✭ 3,066 (+11692.31%)
Mutual labels: coursera