I worked on the capstone project for #mlzoomcamp. It was a good learning experience working with an imbalanced dataset and perform serverless deployment of the model. Would appreciate your feedback! github.com/ada-nai/ag-mlc…
github.com
Loan Default Prediction
Machine Learning Bookcamp book and a free course based on the book - ada-nai/ag-mlcamp
week 9* of #mlzoomcamp included learning about serverless deployment of ML models. I learnt about dockerizing model using AWS lambda, will deploy the image at a later duration. HW-9 was a good learning experience. github.com/ada-nai/ag-mlc…
week 8 of #mlzoomcamp was a brief intro to neural networks. Learnt a practical introduction to using image data for training NNs I will continue working on learning to work with keras and also pytorch soon for deep learning github.com/ada-nai/ag-mlc…
Got the opportunity to attend #TMLS2021. Attended multiple workshops, got exposure to topics like MLOps, Data Shift. Looking forward to attend conferences over the next two days. Lots to learn and apply! Kubeflow lessons will be of great help in #mlzoomcamp @Al_Grigor
As part of the peer review exercise of midterm project under #mlzoomcamp, I reviewed the third project based on predicting IMDB ratings. github.com/arpitchittora/…
I have 3 tickets for Toronto Machine Learning Summit! That's $100 each! Want to win one of them? 🔸 Follow me 🔸 Retweet this tweet More about the summit here: torontomachinelearning.com Winners selected randomly. Results on Wednesday Good luck!🍀 @TMLS_TO
As part of the peer review exercise of midterm project under #mlzoomcamp, I reviewed the second project based on deposit churn. github.com/maltsevoff/mlz…
github.com
GitHub - maltsevoff/mlzoomcamp-midterm-project
Contribute to maltsevoff/mlzoomcamp-midterm-project development by creating an account on GitHub.
As part of the peer review exercise of midterm project under #mlzoomcamp, I reviewed a project based on stroke prediction. The project is well documented and the code can be replicated on local machine. You have done a great job, Ahmed Yahia Kallel! github.com/KDL/ML-Zoomcam…
Check out my midterm project for #mlzoomcamp github.com/ada-nai/ag-mlc… I have got to learn and experienced a lot of ups-and-downs figuring my way out with the tools in the ML ecosystem Grateful to instructor @Al_Grigor and course-mates for their encouragement and suggestions!
github.com
Store Sales Prediction
Machine Learning Bookcamp book and a free course based on the book - ada-nai/ag-mlcamp
Week 6 of #mlzoomcamp included learning Decision trees, ensemble learning. Done with assignment, but would still need further learning. Will refer HOML book for more analysis. Next up is the mid term project To work on dirty but interesting data Excited! github.com/ada-nai/ag-mlc…
#mlzoomcamp Week 5 was about deployments and inference. Got insights on working with pipenv and docker, which was interesting . Also, a lot of experimenting with WSL and Docker Desktop lol (PS:I do have Ubuntu on dual boot,but..) looking forward to W6 github.com/ada-nai/ag-mlc…
#mlzoomcamp Week 4 included learning of metrics for classification. Learnt of Confusion matrix and AUC-ROC curves/scores (which I did not have much awareness about) datatalks.club/courses/2021-w… github.com/ada-nai/ag-mlc…
Joined a couple weeks late, but good way to revise and learn more on DS |ML with #mlzoomcamp Week 3 was about classification and case studies (twitter char limit :( ) Looking forward to the later weeks of the course github.com/ada-nai/ag-mlc… datatalks.club/courses/2021-w…
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