Public MEGA.nz folder Updated 1 day, 20 hours ago

Data science

Indexed public MEGA.nz folder with 31 files and 4 folders. Last scan: Oct 01, 2026. Review a summary of the indexed contents before opening the source link.

Summary of files indexed in this MEGA.nz folder

31 Videos

Summary of files included in this MEGA.nz folder

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

Files 31

33 tableau.mp4
14 python 7.mp4
15 python 8.mp4
32 power bi.mp4
13 python revision 1.mp4
21 unsupervised learning.mp4
41 capstone presentation.mp4
27 advanced nlp techniques.mp4
30 data science project - 1.mp4
31 data science project - 2.mp4
36 revision 1 (python stats).mp4
40 capstone project orientation.mp4
24 introduction to deep learning.mp4
35 training and fine-tuning llms.mp4
19 decision trees and ensemble methods.mp4
11 fundamentals of statistics & probability.mp4
12 adavanced statistic & hypothesis testing.mp4
25 deep learning architectures and training.mp4
37 revision 2 (ml - ensemble learning, eda).mp4
38 advanced fine-tuning and model evaluation.mp4
20 model evaluation and validation techniques.mp4
23 time series modeling with arima and sarima.mp4
26 intro to natural language processing (nlp).mp4
17 multiple linear regression & model evaluation.mp4
18 logistic regression and classification metrics.mp4
28 career enhancement session - 1 [corporate office].mp4
29 career enhancement session - 2 [corporate office].mp4
34 introduction to generative ai, transformers & llms.mp4
39 building a real-life chatbot with gradio deployment.mp4
16 introduction to machine learning and regression basics.mp4
22 support vector machines (svm) and k-nearest neighbors (knn).mp4

Folders 4

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MEGA.nz link overview

Created: Jul 13, 2025
Last scan: Oct 01, 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 summary of the indexed contents so you can evaluate the link before opening the original source.