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Week 1 Progress

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1

10/16/2025

- Prayash Phuyal

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Oct. 13

Introduction to numpy, pandas, matplotlib

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  • Elementwise normal and matrix product using (*) and (@)

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  • Shape manipulation using ravel, reshape, etc.

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  • Hstack, vstack, hsplit ,vsplit

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2

10/16/2025

Mini Project

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  • Read csv file and show head and info.
  • Calculate mean, max, min and growth rate.
  • Bar chart and histogram showing population growth and population

Gorillalogic.com

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Oct. 14

  • Scikit Learning ,
  • linear model,
  • discriminant analysis,
  • SVM,
  • ridge regression,
  • alpha parameter ,

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3

10/16/2025

  • Mini Project
  • Linear regression model was trained on hours and score to predict score
  • Train test split and evaluation

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Oct. 15

  • Clustering
  • Kmeans
  • Elbow and silhouette
  • PCA

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4

10/16/2025

Mini project

  • Dropping empty cells
  • Using standard scalar and kmeans
  • Graphing elbow method
  • Clusters based on the elbow number

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Bombaysoftwares.com

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Oct. 16

  • Pytorch
  • Gradient Descent
  • Cost function
  • Vanishing and exploding gradient
  • Dynamic Computation Graph

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5

10/16/2025

  • Mini Project
  • Training and Validation loss

and accuracy graphs

  • Confusion matrix
  • Dense layer and input layer
  • Mnist dataset

Fig. Dynamic Computation Graph by subscription.packtpub.com

Aiml.com

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  • THANK YOU !!!

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6

10/16/2025