Scripts
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Coursera Machine Learning Stanford | 628 | 4 years ago | MATLAB | |||||||
| Machine learning-Stanford University | ||||||||||
| Streamingphish | 278 | 2 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network. | ||||||||||
| L0learn | 84 | 8 months ago | 2 | June 03, 2022 | 3 | other | C++ | |||
| Efficient Algorithms for L0 Regularized Learning | ||||||||||
| Coursera_ml_da_specialization | 53 | 2 years ago | Jupyter Notebook | |||||||
| Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT) | ||||||||||
| Api Layer | 48 |  | 2 | 4 months ago | 253 | December 01, 2023 | 176 | epl-2.0 | Java | |
| The API Mediation Layer provides a single point of access for mainframe service REST APIs. | ||||||||||
| Stackn | 36 | 10 months ago | 7 | apache-2.0 | Python | |||||
| A minimalistic and pluggable machine learning platform for Kubernetes. | ||||||||||
| Machine Learning Specialization | 20 | 7 years ago | mit | Jupyter Notebook | ||||||
| Project work and Assignments for Machine learning specialization course on Coursera by University of washington | ||||||||||
| Ibm Data Science Specialization Coursera | 17 | a year ago | mit | Jupyter Notebook | ||||||
| Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science. | ||||||||||
| Portfolio | 13 | 3 years ago | mit | |||||||
| This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis. | ||||||||||
| Harvard Data Science Professional | 8 | 5 years ago | HTML | |||||||
| Repository for the Data Science Professional Program from Harvard University on edX | ||||||||||
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