Udemy - Key Concepts in Analytics, ML and AI Made Easy

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size589.6 MB
  • Uploaded Byfreecoursewb
  • Downloads67
  • Last checkedAug. 23rd '70
  • Date uploadedAug. 08th '26
  • Seeders 0
  • Leechers0

Infohash : B84F4067CC23F3C785C89473AA50254F22BDB3D1

Key Concepts in Analytics, ML & AI Made Easy

https://WebToolTip.com

Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 0m | Size: 589.63 MB

Master interview-ready concepts, business applications and model evaluation without coding or complex mathematics.

What you'll learn
Build a strong foundation in data preprocessing, model training, evaluation, and handling common machine learning challenges.
Master essential statistical concepts such as Correlation, A/B Testing, P-value, Confidence Intervals, and the Central Limit Theorem.
Interpret model performance using Accuracy, Confusion Matrix, Precision, Recall, and choose the right evaluation metric for different situations.
Prepare confidently for Analytics, Data Science, and Machine Learning interviews by understanding the reasoning behind commonly asked concepts.

Requirements
No programming knowledge required.
No prior experience in Machine Learning is needed.
No advanced mathematics or statistics background required.
Just curiosity and a willingness to understand how Analytics and AI concepts work.

Files:

[ WebToolTip.com ] Udemy - Key Concepts in Analytics, ML and AI Made Easy
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - How Handle Data Imbalance
    • 1 - What is Undersampling.mp4 (32.0 MB)
    • 2 - What is Oversampling.mp4 (26.8 MB)
    • 3 - What is SMOTE.mp4 (38.5 MB)
    2 - Underfitting & Overfitting
    • 4 - What is Underfitting & Overfitting.mp4 (24.7 MB)
    3 - Data Engineering Basics
    • 5 - How to Handle Missing Data.mp4 (28.9 MB)
    • 6 - What is Data Scaling.mp4 (29.7 MB)
    • 7 - What is Standardization.mp4 (30.2 MB)
    • 8 - What is Normalization.mp4 (25.2 MB)
    • 9 - What is Feature Engineering.mp4 (23.0 MB)
    4 - Training and Testing of a Model
    • 10 - Cross Validation.mp4 (24.5 MB)
    • 11 - Why not test on Training Data.mp4 (27.8 MB)
    5 - Some Key Statistical concepts useful everywhere
    • 12 - Correlation & Causation.mp4 (35.9 MB)
    • 13 - What is A B Testing.mp4 (30.4 MB)
    • 14 - What is 95% Confidence Interval.mp4 (36.8 MB)
    • 15 - What does P-Value really tell us.mp4 (36.0 MB)
    • 16 - Magic of Central Limit Theorem.mp4 (24.4 MB)
    • 17 - Regression v s Classification.mp4 (26.3 MB)
    6 - Let's discuss Accuracy of the Model
    • 18 - What is Confusion Matrix.mp4 (35.7 MB)
    • 19 - Precision or Recall, What is more important.mp4 (25.4 MB)
    7 - Churn Prediction
    • 20 - How do Companies know that a customer is about to leave them.mp4 (27.4 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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