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Day 46 of #365DaysOfML

- Learned about bias and variance in ML models

- Worked on new Project: Brain Stroke Prediction

Project link: github.com/seenusnehil/Ma…

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Day 45 of #365DaysOfML

- Started and finished the project: "Heart Attack Prediction"
- This time preprocessed the data
- Used 2 classifiers to compare results etc.

Project link: github.com/seenusnehil/Ma…

Feel free to make any suggestions...

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Day 44 of #365DaysOfML

- Learned how to evaluate your model and various evaluating techniques.

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Day 42 of #365DaysOfML

- Didn't do much in ML

- Later this evening, I had a pleasant chat with @Hrishik55709731 , we discussed a variety of ML and data analytics tools, resources, projects, and current and future goals. Had a fun convo.

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Day 39 of #365DaysOfML

- Learned about back-propagation, computational graph
- Explored the sympy library of python
- Worked a bit for the AI hackathon

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Day 38 of #365DaysOfML

- Studied Back Propagation
- Practiced with multiclass classification examples

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Day 36 of #365DaysOfML

- Did some ML math
- Did some brainstorming for @AssemblyAI hackathon with team members

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Day 35 of #365DaysOfML

- Practiced few more data pre-processing techniques

- Worked on the blog

- Learned about APIs and made my first API request using @getpostman interface.

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Day 34 of #365DaysOfML

- Practiced data pre-processing with some real-life data sets; practiced a few techniques today; the rest will be done tomorrow.

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Day 33 of #365DaysOfML

- Read an article on data pre-processing, and learned about various techniques.

- Researched a bit for my blog.

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Day 28 of #365DaysOfML

Not getting enough time for learning anything new, so just practicing with the stuffs I've learned till now.

- Did some practice with neural networks.

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Day 27 of #365DaysOfML

- Couldn't learn anything new today, was busy with tomorrow's exam prep.

So, just for maintaining the continuity... I revised few things from notes.

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Day 26 of #365DaysOfML

- Just documented some ML concepts that I learned in the past few days and revised them!

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Day 25 of #365DaysOfML

🔴Finally completed this project - coffee roasting prediction

All thanks to endsems 😷

Project Link: github.com/seenusnehil/Ma…

Ignore the poor output, need to use a better dataset!

Twitter update: github.com/seenusnehil/Ma…

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Day 23 of #365DaysOfML

🟢 Just read an article on CNN

- Couldn't do anything else, was studying for tomorrow's exam! Exams sucks 💀

Article link: towardsdatascience.com/beginners-guid…

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Day 22 of #365DaysOfML

🟢 Studied about Adam optimization algorithm

🟡 Got some insights about Convolutional Neural Network (CNN)

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Day 21 of #365DaysOfML

🔴 Studied optimization parameters in neural networks.

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Day 20 of #365DaysOfML

🔴 Just worked a bit on my coffee roasting project.

Prepared for exams. 😷

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Day 20 of #365DaysOfML

🔴 Just worked a bit on my coffee roasting project.

Prepared for exams. 😷

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