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Master NumPy from our NumPy tutors, mentors, and teachers who will personalize a study plan to help you refine your NumPy skills. Find the perfect NumPy tutor now.
Master NumPy from our NumPy tutors, mentors, and teachers who will personalize a study plan to help you refine your NumPy skills. Find the perfect NumPy tutor now.
NumPy tutor
I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.
NumPy tutor
### About Me I am an experienced **AI and Computer Vision Specialist** with a **Master’s degree in Computer Vision** and a recipient of the **Google Inside Look 2019 Award**. My expertise lies in developing advanced solutions in **Deep Learning, Machine Learning**, and **Image Processing**, with a strong focus on building and optimizing AI-driven systems. I have successfully built AI teams using **Gemini**, **Groq**, and **Phidata**, enabling multi-agent collaboration for tasks such as **data collection, processing, and analysis**. Additionally, I specialize in **Face Recognition**, **Object Detection**, and **Video Analysis**, leveraging technologies like **TensorFlow**, **Keras**, and **OpenCV** to deliver impactful solutions. ### Key Achievements * Optimized an object detection pipeline for a startup, reducing processing time by 40%. * Built and deployed end-to-end ML models for image classification in production environments. * Guided junior developers in designing and training custom CNNs, improving team performance. ### Mentorship Philosophy I excel at breaking down complex AI concepts into digestible steps, empowering both beginners and experienced developers. Whether you're starting your journey in AI or looking to fine-tune and scale your solutions, I’m here to guide you with practical, hands-on advice. * **GitHub**: [github.com/ahmetozlu](https://github.com/ahmetozlu) * **Papers**: [Facial Expression Recognition](https://ieeexplore.ieee.org/document/8404767/) | [Automatic Age Estimation](https://ieeexplore.ieee.org/document/8404549/)
NumPy tutor
Done a heck of a lot of programming and software design since I wrote my first on a Sinclair ZX spectrum in 1987. Not enough of it has been made open source. 2000+ five star ratings
NumPy tutor
**Services:** Practice and make you ready for your exams/interviews, guidance for your projects, assignments/homeworks, revisions. Perform or guide you through the entire software lifecycle (Planning, Requirements, Design, Build, Document, Test, Deploy) and full stack development. **Expertise:** Java, Python, C/C++, C#, Javascript, Perl, php, Html/CSS, LATex, Bash scripting, Matlab/Octave, SQL **Concepts/Frameworks/Libraries:** OOP, Database, Graph/Tree/Arrays/Linked list/Heaps, Sequencing, BFS/DFS/Sorting/Kruskal/Prims, RegEx, Unit Testing / JUnit, javafx, Matplotlib, JQuery, numpy, pandas, scipy, scikit-learn, pygame, ChartJS, D3.js, OpenCV You may reach me via my linkdn or google account 'samindaw'
NumPy tutor
Sanyam Khurana, an Open Source contributor who predominantly goes by the moniker "CuriousLearner," achieved summa cum laude distinction upon obtaining a Master's degree in Computer Science from the Georgia Institute of Technology, specializing in Machine Learning and Interactive Intelligence. He is also an AWS certified Solutions Architect. Sanyam has demonstrated an unwavering commitment to the Open Source community, having served as a GSoC mentor for Debian and an individual member of the Django Software Foundation (DSF). His GitHub profile (https://github.com/CuriousLearner/) is filled with evidence of his contributions to numerous upstream projects. He has delivered presentations at a variety of international conferences, including PyCon Australia (https://www.youtube.com/watch?v=go7JklZRtrs) and DjangoCon US (https://www.youtube.com/watch?v=aiZ_1gsS4F8). Sanyam's work has also been instrumental in maintaining and improving CPython, Python's interpreter, as a dedicated bug triager who actively contributes patches upstream. He has also contributed various patches and bug reports upstream to Mozilla Organization's Gecko Engine, in addition to maintaining several upstream projects across different organizations. As a vouched Mozillian, Sanyam has earned the distinction of being an official representative of Mozilla, and his contributions have been recognized in the AUTHORS and credits sections of every browser ever released by Mozilla. He served as a mentor for PyDSA during RGSoC 2017.
NumPy tutor
6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
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See the power of our NumPy tutors through glowing user reviews that showcase their successful NumPy learning journeys. Don't miss out on top-notch NumPy training.
“Dejan was very clear in his thinking and problem solving skills when going through an algorithm. Would highly recommend“
hillbilly991 / Jan 2024
Dejan B.
NumPy tutor
“Takes the time to listen to your needs throughout the session rather than brute force teaching a concept. Adaptable, intelligent, great communication skills. Highly recommend.“
Thomas Quaid / Jul 2023
Zack Plauché
NumPy tutor
“Thank you for the quick reply and help with understanding how to combine and process large data. Was great experience collaborating“
Ildana Ruzybayeva / Mar 2023
Moeed Shaik
NumPy tutor
“Smooth and Clear. I asked him to explain to me what he did for the work, and he delivered what I asked for. Very nice and fluent English, Clear mic and voice. He is very knowledgeable about ML, python and will answer your questions quickly.“
The Wise one / Feb 2023
Abdulhakeem Omotolani Yaqoob
NumPy tutor
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We'll help connect you with a NumPy tutor that suits your needs.
Find the most suitable NumPy tutor by chatting with NumPy experts.
Arrange regular session times with NumPy tutors for one-on-one instruction.
Learning NumPy effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
The time it takes to learn NumPy depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
The cost of finding a NumPy tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
To find the best rate, browse through our NumPy tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
Learning NumPy with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
By leveraging these benefits, you can significantly improve your competency in NumPy in a structured, supportive, and effective environment.
Personalized NumPy mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering NumPy.
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