Public MEGA.nz folder Updated 2 days, 16 hours ago

[hacksnation.com] -- [365 data science] programming for data science

Indexed public MEGA.nz folder with 452 files and 197 folders. Last scan: Jun 30, 2026. Review a sample of the indexed contents before opening the source link.

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46.7 GB

Files

452

Summary of files indexed in this MEGA.nz folder

451 Videos
1 Archives

Sample of files included in this MEGA.nz folder

A curated sample of files and folders indexed from this link — not the full listing. Total counts reflect the complete dataset.

Files 452

  • 3. the probability frequency distribution.mp4
  • 5. computing variations without repetition.mp4
  • 6. understanding logistic regression tables.mp4
  • 8. combinations with separate sample spaces.mp4
  • 1. principal component analysis - background.mp4
  • 2. importing and exploring segmentation data.mp4
  • 7. purchase probability model with promotion.mp4
  • 2. principal component analysis - application.mp4
  • 8. binary predictors in a logistic regression.mp4
  • 2. prepare the dataset for logistic regression.mp4
  • 6. an overview of our data science infographic.mp4
  • 3. how are we going to tackle the business case.mp4
  • 4. use conditional statements and loops together.mp4
  • 6. creating functions containing a few arguments.mp4
  • 8. calculating price elasticities with promotion.mp4
  • 5. combining conditional statements and functions.mp4
  • 7. relationship between clustering and regression.mp4
  • 4. scalars, vectors, and matrices as python arrays.mp4
  • 6. business intelligence (bi) - real-life examples.mp4
  • 3. difference between classification and clustering.mp4
  • 1. setting up the environment - do not skip, please!.mp4
  • 4. the power of lists and loops and working together.mp4
  • 7. feature selection through p-values (f-regression).mp4
  • 5. price elasticity of purchase probability - results.mp4
  • 7. jupyter’s interface – prerequisites for coding.mp4
  • 9. obtaining the probability of a customer to convert.mp4
  • 1. introduction to deep learning for customer analytics.mp4
  • 2. hierarchical clustering - implementation and results.mp4
  • 4. calculating price elasticity of purchase probability.mp4
  • 3. importing the relevant libraries and loading the data.mp4
  • 4. simple linear regression with sklearn - summary table.mp4
  • 2. underfitting and overfitting. a classification example.mp4
  • 6. the linear model. multiple inputs and multiple outputs.mp4
  • 7. own and cross-price elasticity by segment - comparison.mp4
  • 1. purchase quantity models. the model - linear regression.mp4
  • 5. all in – conditional statements, functions, and loops.mp4
  • 9. comparing price elasticities with and without promotion.mp4
  • 2. why are there so many business and data science buzzwords.mp4
  • 5. geometrical representation of the linear regression model.mp4
  • 4. k-means clustering with principal components - application.mp4

Showing a sample of 40 out of 452 total files

Folders 197

MEGA.nz link overview

Created
May 13, 2024
Last scan
Jun 30, 2026

About this MEGA link

This page summarizes an indexed public MEGA.nz folder discovered by Meawfy. It combines file and folder counts, size, tags, scan history, and a sample of the indexed contents so you can evaluate the link before opening the original source.