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Data Science allows us to extract meaning from and interpret data.

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The Curse of Dimensionality: Why More Features Can Destroy Your Model Instead of Saving It
sachin_krrajput profile

The Curse of Dimensionality: Why More Features Can Destroy Your Model Instead of Saving It

#machinelearning #ai #beginners #datascience
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9 min read
Regularization: The Art of Telling Your Model to Calm Down and Stop Overthinking
sachin_krrajput profile

Regularization: The Art of Telling Your Model to Calm Down and Stop Overthinking

#machinelearning #ai #beginners #datascience
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10 min read
L1 vs L2 Regularization: The Minimalist vs The Diplomat — Two Philosophies That Shape Your Model
sachin_krrajput profile

L1 vs L2 Regularization: The Minimalist vs The Diplomat — Two Philosophies That Shape Your Model

#machinelearning #ai #beginners #datascience
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10 min read
Cross-Validation: Why Testing Your Model Once Is Like Judging a Restaurant by a Single Bite
sachin_krrajput profile

Cross-Validation: Why Testing Your Model Once Is Like Judging a Restaurant by a Single Bite

#machinelearning #ai #beginners #datascience
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11 min read
Learning Rate: The One Number That Can Make or Break Your Entire Model
sachin_krrajput profile

Learning Rate: The One Number That Can Make or Break Your Entire Model

#machinelearning #ai #beginners #datascience
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10 min read
Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain
sachin_krrajput profile

Batch vs Mini-Batch vs Stochastic Gradient Descent: Three Hikers, Three Strategies, One Mountain

#machinelearning #ai #beginners #datascience
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10 min read
Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded
sachin_krrajput profile

Gradient Descent: How to Find the Lowest Point in a Valley While Completely Blindfolded

#machinelearning #ai #beginners #datascience
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10 min read
Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers
sachin_krrajput profile

Classification vs Regression: The Doctor Who Gives Answers vs The Doctor Who Gives Numbers

#machinelearning #ai #beginners #datascience
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9 min read
Loss Functions: The Brutally Honest Friend Your Model Desperately Needs
sachin_krrajput profile

Loss Functions: The Brutally Honest Friend Your Model Desperately Needs

#machinelearning #ai #beginners #datascience
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9 min read
Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver
sachin_krrajput profile

Parametric vs Non-Parametric Models: The GPS vs The Taxi Driver

#machinelearning #ai #beginners #datascience
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9 min read
Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam
sachin_krrajput profile

Overfitting & Underfitting: Why Your Model Aced the Practice Test But Failed the Real Exam

#machinelearning #ai #beginners #datascience
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10 min read
The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart
sachin_krrajput profile

The Bias-Variance Tradeoff: Why Your Model is Either Too Dumb or Too Smart

#machinelearning #ai #beginners #datascience
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7 min read
Chapter 2: Classification
arham_jawad_51b88b85913b5 profile

Chapter 2: Classification

#machinelearning #tutorial #python #datascience
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4 min read
Data Science Meets Wine: Building a Model to Predict Quality Accurately
idabdellah profile

Data Science Meets Wine: Building a Model to Predict Quality Accurately

#ai #machinelearning #datascience #python
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8 min read
Building an Effective Power BI Dashboard: Connection, Cleaning, Modeling & Design
maureenmuthonihue profile

Building an Effective Power BI Dashboard: Connection, Cleaning, Modeling & Design

#discuss #beginners #datascience
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3 min read
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