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…

#buildinpublic #MachineLearning

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...

#buildinpublic #MachineLearning

Day 44 of #365DaysOfML

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

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Day 43 of #365DaysOfML

- Worked on Heart attack prediction model

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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…

#buildinpublic #MachineLearning

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. 😷

#buildinpublic #MachineLearning

Day 19 of #365DaysOfML

🔴 Studied about multi-class and multi-label classification

🟢 Learned about Softmax Regression, and how to use it in neural networks

Blog is on a pause rn....due to endsem exams. :(, hopefully will continue after that

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Day 18 of #365DaysOfML

🔴 Did a deep study of ReLU activation function

🟢 Got insights about vanishing gradient problem and its solutions

Article I referred:
machinelearningmastery.com/rectified-line…

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Day 17 of #365DaysOfML

🔴 Learned model fitting and read about it.
🟡 Studied the types of activation functions used in neural networks.
🟢 Started to work on my first blog... (hopefully will post in few days 🤞)

And started to study for end sem too... 🫥

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Day 16 of #365DaysOfML

🔴 Learned Data Normalization in Machine Learning using Keras

🟡 Started a new project, Coffee Roasting Prediction using Neural Network (simple NN project)

Github update: github.com/seenusnehil/Ma…

Twitter Update: github.com/seenusnehil/Ma…

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Day 15 of #365DaysOfML

- Studied about Binary Cross Entropy in detail (Specifically for Binary classification problems)

- And that led me to read about "The Visual Information Theory"

Link to the article "Visual Information Theory":
colah.github.io/posts/2015-09-…

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Day 14 of #365DaysOfML

- Studied about inference in Machine Learning
- Did some hands on practice with designing of sequential layer models

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Day 13 of #365DaysOfML

- Studied about feature engineering and learned about a few techniques.
machinelearningmastery.com/discover-featu…

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Day 12 of #365DaysOfML

- Just revised a few concepts of neural networks.

The whole day was busy with meetups, learned a lot, and had fun!

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Day 11 of #365DaysOfML

- Studied about forward propagation
- Design by first own Neural Network
- Practiced Tensorflow

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Day 10 of #365DaysOfML

- Learned about Keras, watched some tutorials of the same
- Did some hands on practice of Tensorflow

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Day 9 of #365DaysOfML

- Studied about types of AI
- Watched some tutorials on Neural Networks

Days are not very productive, as VIVAs are going on in college!

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Day 8 of #365DaysOfML

- Started learning about Neural Network
- Read articles on relation between Biological brain and Neural Networks
quantamagazine.org/artificial-neu…

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Day 7 of #365DaysOfML

- Studied the concept of Overfitting, Underfitting
- Removed the problem of overfitting in the project using regularization technique

Github update: github.com/seenusnehil/Ma…

Twitter update: github.com/seenusnehil/Ma…

#buildinpublic

If you want to keep track of my daily learnings for the next 365 days, you can access this link, which will show all my tweets starting from day 1:

#365DaysOfML #buildinpublic #MachineLearning
twitter.com/i/events/15894…

Day 6 of #365DaysOfML

- Completed Tumor detection Project (For Breast Cancer Prediction)
- Dealt and solved all the errors

Else, I have VIVA tomorrow, so prepared for that

Github update: github.com/seenusnehil/Ma…

Twitter update: github.com/seenusnehil/Ma…

#buildinpublic

Day 2 of #365DaysOfML

- Revised Multiple linear regression (MLR), Polynomial regression
- Completed project House-Price-Prediction
-Practiced with pandas
- Studied Hot-encoding technique

Github: github.com/seenusnehil/Ma…

Twitter update: github.com/seenusnehil/Ma…

#buildinpublic

Day 1 of #365DaysOfML

- Revised Linear Regression technique thoroughly
- Started House price prediction project (single feature input for now)
- Explored Jupiter Notebook

Project link: github.com/seenusnehil/Ma…

Twitter update: github.com/seenusnehil/Ma…

#buildinpublic

Day 1 of #365DaysOfML

- Revised Linear Regression technique thoroughly
- Started House price prediction project (single feature input for now)
- Explored Jupiter Notebook

Project link: github.com/seenusnehil/Ma…

Twitter update: github.com/seenusnehil/Ma…

#buildinpublic