Mikael Bucknavage
Mechanical Engineering Candidate with top-tier engineering education, diverse background, and US-EU status.
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I recently wrapped up the third part of the Practical Data Science with MATLAB Coursera Specialization. This part covered Predictive Modeling and Machine Learning, wherein I followed the completed Machine Learning Workflow using MATLAB to identify the best machine learning model for obtaining answers from data, preprocessed and engineered features from the data, selected and trained several kinds of predictive models, evaluated and optimized the model, and automated the process to eliminate some of the time-consuming iterative trial and error steps from the workflow. I finished the course with a grade of 96.75%!What we covered in the course:- Apply a full machine learning workflow, from cleaning data to training & evaluating models using a real-world dataset- Train many machine learning models to find the best approach for your application- Customize training using cost matrices to emphasize important classes- Automating model selection and hyperparameter optimization
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Poongothai G
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🚀 Exciting News: I've just completed the MATLAB OnRamp course on MathWorks! 🎉🌐 MATLAB is a powerful tool for data analysis, visualization, and algorithm development. Whether you're a student, researcher, or professional, mastering MATLAB can open up a world of possibilities in engineering, data science, and more.📚 During this course, I learned:✅ Basic syntax and commands✅ Working with matrices and arrays✅ Data visualization and plotting✅ Importing and exporting data✅ Basic programming concepts🌟 With this newfound knowledge, I'm now equipped to apply MATLAB in my work and research, making data analysis and visualization more efficient and insightful.🌟 I want to express my gratitude to MathWorks for providing this valuable resource, and I highly recommend the MATLAB Onramp course to anyone looking to get started with MATLAB or strengthen their skills.#MATLAB #DataAnalysis #Learning #MATLABOnramp #MathWorks
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Naga Venu Madhavi Jonnalagadda
Amazon ML Summer School 2024 | JP Morgan Chase & Co Code for Good'24 Finalist | Ex Hcl Intern | Core team member@Microsoft club, SIST | SIST'25
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"Excited to share my recent accomplishment: completing a series of MATLAB courses, including MATLAB Onramp, Machine Learning Onramp, MATLAB for Data Processing and Visualization, and Machine Learning with MATLAB. 🚀 Equipped with versatile skills in data analysis, visualization, and machine learning, I'm ready to tackle complex challenges and drive innovation. Here's to continuous learning and growth! #MATLAB #MachineLearning #DataAnalysis #ContinuousLearning"
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Bhavneet bhagat
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I am pleased to announce that I have successfully completed the MATLAB Onramp course offered by MathWorks.It was an enriching experience diving into the fundamentals of MATLAB, sharpening my skills in data analysis, visualization, and more.Grateful for the opportunity to enhance my proficiency in this powerful tool. Thanks to #mathworks #MATLAB #DataAnalysis #Continuous Learning
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ANIKET KUMAR
Student at SRM University
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Exciting news! I've just completed the MATLAB Onramp certification, enhancing my skills in data analysis, visualization, and programming. MATLAB is an essential tool for engineers, data scientists, and researchers, and this certification has equipped me with the necessary skills to tackle real-world problems and contribute to innovative projects. I want to extend my thanks to MathWorks for providing such an excellent learning opportunity. If you're looking to boost your MATLAB proficiency, I highly recommend the MATLAB Onramp. #MATLAB #Certification #DataAnalysis #Programming #SkillsDevelopment #MathWorks
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Darshan Dashpute
M.Tech Medical Devices || National Institute of Pharmaceutical Education and Research Guwahati || GATE || GPAT || NIPER || CUET-PG ||
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Excited to share that I have earned the MATLAB Onramp certificate from MathWorks!I'm now equipped with the fundamentals of using MATLAB for data analysis, modeling, and programming. This valuable skill will be instrumental in Data Visualization, Data Analysis.#matlab #onramp #medicaldevices #coding #newlearnings
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Hemanth Pranesh
Pursuing B.Tech in Computer science and business systems at KPRIET | Rotary Rotaract Relation @ Rotaract club of KPRIET
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Hey connections!🎉 Excited to share that I've successfully completed the MATLAB Onramp course! 🚀 This journey has enhanced my skills in data analysis, algorithm development, and model creation. A big thanks to MathWorks for this comprehensive and interactive learning experience.Looking forward to leveraging these new skills in upcoming projects and continuing to grow in the field. 📊💡#ProfessionalDevelopment #ContinuousLearning #MATLAB #DataAnalysis
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Saimohan Prathipati
Student at Andhra Layola College ,Vijayawada, PIN-520008
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🎓 Certificate Accomplishment: MATLAB OnrampI am pleased to announce that I have successfully completed the MATLAB Onramp course, offered by MathWorks. This comprehensive program has equipped me with essential skills in MATLAB( basics), empowering me to tackle complex technical challenges and excel in data analysis, visualization, and numerical computation#mathworks #selflearning
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Marc Semma
Helping Companies Accelerate the Pace of Engineering and Science.
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Register today to learn to perform statistical data analysis with MATLAB and Statistics and Machine Learning Toolbox. Course topics include significance tests, distribution fitting, regression, and random simulation. Detailed two-day course. #statistics
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Mikael Bucknavage
Mechanical Engineering Candidate with top-tier engineering education, diverse background, and US-EU status.
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Just completed the second part of the Practical Data Science with MATLAB Coursera Specialization. This part covered Data Processing and Feature Engineering, wherein I utilized principal component analysis (PCA) for dimensionality reduction and detection of anomalous data channels, used clustering algorithms and filtering techniques to reveal trends in complex data, and conducted statistical tests on wide datasets to select which features served best as predictor variables. I managed to complete this course with a grade of 93.80%, acing the signal processing quiz that 69% of participants failed on their first try!What we covered in the course:- Prepare data for further analysis by removing noise, identifying outliers, & merging data from multiple sources- Create and evaluate features for machine learning applications, conduct Principal Component Analysis (PCA), feature selection and filtering techniques- Explore special techniques for handling textual, audio, & image data, processing and interpreting signals- Perform unsupervised machine learning to create meaningful and robust predictor models
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9 MATLAB Cheat Sheets for Data Science and Machine Learning Get started using MATLAB for your next data science or machine learning project. These cheat sheets help you to quickly find the right commands for the tasks in your workflow.#matlab #datascience #machinelearning #mathworks
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