Vishakha @_vishakha12

Trust in the process linkedin.com/in/vishakha-gu… Joined June 2020

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Vishakha @_vishakha12

6 months ago

Some days, you get multiple interview calls, and life feels great. Other days, you don't even get shortlisted for anything-no matter how good you are. It’s a weird rollercoaster and honestly staying positive isn’t always easy

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Vishakha @_vishakha12

9 months ago

Day 40 #100DaysOfCode Explored gradient descent, compared traditional vs. stochastic approaches and worked on a regression model with the diabetes dataset.

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Vishakha @_vishakha12

10 months ago

🙃🙃

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Vishakha @_vishakha12

10 months ago

End sem ends on 12th, and the new sem starts on 13th. Not even a day to breathe🥲

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Vishakha @_vishakha12

10 months ago

Endsem 🙏

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Tanmay Rauth @tanmayrauth

10 months ago

Just imagine that you sacrificed everything for that one thing, and it worked 🔥

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Vishakha @_vishakha12

11 months ago

Revising oop concepts today .

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Vishakha @_vishakha12

11 months ago

Day 39 of #100DaysOfCode:Today, I explored Batch, Stochastic, and Mini-Batch Gradient Descent, learning how each optimizes linear regression and when to use each type based on dataset size, with hands-on coding examples for practical understanding.

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Vishakha @_vishakha12

11 months ago

I had an amazing time with family during Diwali, Now being back on campus feels so empty.

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Vishakha @_vishakha12

11 months ago

Day 38 of #100DaysOfCode: Learned about Gradient Descent today—it's an optimization algorithm for finding local minima, focusing on tuning parameters for better results, applicable to various differentiable functions.

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Vishakha @_vishakha12

a year ago

Day 37 of #100DaysOfCode: Learning multiple linear regression with inputs like CGPA, IQ, and gender. Built a custom class for calculations, worked on matrix shapes, data transformation, and model training. Focusing on accurate and organized data for better analysis. #ML

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Vishakha @_vishakha12

a year ago

Day 36 of #100DaysOfCode : Continuing with multiple linear regression, focusing on the math behind it and matrix manipulations. Explored gradient descent vs ordinary least squares using student data to predict outcomes. #MachineLearning

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Vishakha @_vishakha12

a year ago

Being sick in college is the worst feeling🥲.

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Vishakha @_vishakha12

a year ago

Day 35 of #100DaysOfCode: Today I went through simple vs. multiple linear regression. Simple is just 1 input/output, but multiple handles more variables (like 3D plotting). Real data usually needs multiple regression, so starting with the basics really helps! #ML #DataScience

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Vishakha @_vishakha12

a year ago

Not a great start to the day -went to the lab class but didn’t get marked for attendance🥲👍

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Vishakha @_vishakha12

a year ago

Day 34 of #100DaysOfCode: Focused on regression metrics like MSE and R-squared. Learned how optimization algorithms like Adam and SGD help improve predictions. Used CGPA data to predict student placement packages. #ML #DataScience

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Vishakha @_vishakha12

a year ago

Day 33 of #100DaysOfCode: Started with simple linear regression! Worked on finding the best-fit line using CGPA as an example. Learned two methods—OLS for quick solutions and Gradient Descent for more complex cases.#ML #DataScience

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Vishakha @_vishakha12

a year ago

Day 32 of #100DaysOfCode: Exploring Linear Regression today! It's perfect for predicting things like salaries from GPA. Focusing on simple regression first before moving to more complex stuff. Accurate data really makes a difference! #MachineLearning

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Vishakha @_vishakha12

a year ago

Day 31 of #100DaysOfCode :Used PCA on the MNIST dataset for digit recognition. Extracted pixel data, transformed it, and got good predictions. Visualized everything in 2D and 3D.