Github Hthuwal Mcs Machine Learning Assignments For The Machine

Assignments for the Machine Learning course (COL774) at IITD 1. Linear Regression using Gradient Descent 2. Locally weighted Linear Regression using Normal Equations 3.

Logistic Regression using Newton's Update Method c. Dynamically calculate median of Numerical Data There was an error while loading. Please reload this page. Updated on Sep 10, 2025 | 26 min read | 24.06K+ views

Explore these top machine learning repositories to build your skills, portfolio, and creativity through hands-on projects, real-world challenges, and AI resources. Machine learning is a vast and dynamic field that encompasses a wide range of domains, including computer vision, natural language processing, core machine learning algorithms, reinforcement learning, and more. While taking courses can help you learn the theoretical foundations, they often don't provide the hands-on experience needed to solve real-world problems or demonstrate your abilities to potential employers. To become job-ready as a machine learning engineer, it's essential to build a diverse portfolio of projects that showcase both your technical skills and your practical experience. In this article, we will review 10 GitHub repositories that feature collections of machine learning projects. Each repository includes example codes, tutorials, and guides to help you learn by doing and expand your portfolio with impactful, real-world projects.

Link: ChristosChristofidis/awesome-deep-learning Jump to: [Homeworks] [Projects] [Quizzes] [Exams] There will be one homework (HW) for each topical unit of the course. Due about a week after we finish that unit. These are intended to build your conceptual analysis skills plus your implementation skills in Python. After completing each unit, there will be a 20 minute quiz (taken online via gradescope).

Each quiz will be designed to assess your conceptual understanding about each unit. Instantly share code, notes, and snippets. Each task should have its report and IPython Notebook. Once again, we emphasize the report; it should contain all your questions and your proper statistical answers. Use figures, pictures, and tables. DO NOT PUT ANY CODE IN THE REPORT.

Machine Learning - Computer Science Faculty of Shahid Beheshti University. Winter 2023 - Contact us at saeidcheshmi@outlook.com The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job. Mastering machine learning (ML) may seem overwhelming, but with the right resources, it can be much more manageable. GitHub, the widely used code hosting platform, is home to numerous valuable repositories that can benefit learners and practitioners at all levels. In this article, we review 10 essential GitHub repositories that provide a range of resources, from beginner-friendly tutorials to advanced machine learning tools.

This comprehensive 12-week program offers 26 lessons and 52 quizzes, making it an ideal starting point for newcomers. It serves as a starting point for those with no prior experience with machine learning and looks to build core competencies using Scikit-learn and Python. Each lesson features supplemental materials including pre- and post-quizzes, written instructions, solutions, assignments, and other resources to complement the hands-on activities. This GitHub repository serves as a curated index of quality machine learning courses hosted on YouTube. By collecting links to various ML tutorials, lectures, and educational series into one centralized location from providers like Clatech, Stanford, and MIT, the repo makes it easier for interested learners to find video-based ML... There was an error while loading.

Please reload this page. Automate your workflow from idea to production GitHub Actions makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Hosted runners for every major OS make it easy to build and test all your projects. Run directly on a VM or inside a container.

Use your own VMs, in the cloud or on-prem, with self-hosted runners. Save time with matrix workflows that simultaneously test across multiple operating systems and versions of your runtime.

People Also Search

• GitHub - hthuwal/mcs-machine-learning: Assignments for the Machine ...
• Activity · hthuwal/mcs-machine-learning · GitHub
• 25+ Machine Learning Projects on GitHub with Source Code 2025 - upGrad
• 10 GitHub Repositories for Machine Learning Projects
• Assignments | Introduction to Machine Learning - Tufts University
• Machine Learning Assignments · GitHub
• PDF CSE 446: Machine Learning Assignment 1 - University of Washington
• Assignments | Machine Learning - scheshmi.github.io
• 10 GitHub Repositories to Master Machine Learning - KDnuggets
• Actions · hthuwal/mcs-machine-learning · GitHub