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Checked by:
Category:
Language:
English
Total Size:
3.6 GB
Info Hash:
088461655AA7DD4BF5DD4933F5DAE3D039E45D44
Added By:
Added:
Nov. 13, 2025, 4:22 a.m.
Stats:
|
(Last updated: Nov. 13, 2025, 4:24 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 1 - Introduction.mp4 | 9.3 MB |
| 1 - How Python Thinks Execution Flow & Memory Management.mp4 | 162.1 MB |
| 10 - Python File Handling.mp4 | 122.1 MB |
| 11 - Python Multiprocessing.mp4 | 96.8 MB |
| 12 - Asyncio in Python.mp4 | 182.9 MB |
| 13 - List & Dictionary Comprehension in Python.mp4 | 91.7 MB |
| 14 - Decorator & Generator in Python.mp4 | 110.7 MB |
| 15 - Lambda Function in Python.mp4 | 16.4 MB |
| 16 - Map, Filter & Reduce in Python.mp4 | 25.0 MB |
| 17 - Python Virtual Environment Setup.mp4 | 109.3 MB |
| 2 - Python Installation.mp4 | 15.2 MB |
| 3 - Python Variables.mp4 | 59.2 MB |
| 4 - Python Loops.mp4 | 41.6 MB |
| 5 - Python Data Structures.mp4 | 97.0 MB |
| 6 - How to import module in Python.mp4 | 49.2 MB |
| 7 - Python Methods.mp4 | 46.8 MB |
| 8 - Python Handling Errors.mp4 | 44.1 MB |
| 9 - Object Oriented Programming in Python.mp4 | 222.6 MB |
| 1 - Introduction to Vectors.mp4 | 37.0 MB |
| 10 - What is the Chain Rule.mp4 | 9.2 MB |
| 2 - Types of Vectors.mp4 | 16.9 MB |
| 3 - Vector Addition.mp4 | 9.8 MB |
| 4 - What is Vector Span.mp4 | 15.5 MB |
| 5 - Vector Multiplication.mp4 | 44.2 MB |
| 6 - Vectors Explained with a Housing Price Dataset.mp4 | 40.7 MB |
| 7 - Understanding Derivatives.mp4 | 32.3 MB |
| 8 - What is a Partial Derivative.mp4 | 13.1 MB |
| 9 - Introduction to Gradients in Calculus.mp4 | 15.0 MB |
| 1 - Introduction to Statistics.mp4 | 11.2 MB |
| 10 - Common Statistical Terms You Should Know.mp4 | 41.0 MB |
| 11 - Z-Scores in Statistics.mp4 | 40.4 MB |
| 12 - Non-Gaussian Distribution Explained.mp4 | 91.8 MB |
| 13 - Binomial and Poisson Distribution.mp4 | 62.7 MB |
| 14 - What is Central Limit Theorem.mp4 | 8.9 MB |
| 15 - Confidence Interval in Statistics.mp4 | 22.0 MB |
| 16 - Hypothesis Testing.mp4 | 78.0 MB |
| 17 - T-Test and ANOVA.mp4 | 57.9 MB |
| 2 - Levels of Measurement in Statistics.mp4 | 25.0 MB |
| 3 - Mean, Median & Mode.mp4 | 26.8 MB |
| 4 - What is Probability Distribution Function.mp4 | 33.8 MB |
| 5 - What is Probability Mass Function.mp4 | 31.4 MB |
| 6 - Small Correction in PMF.mp4 | 4.1 MB |
| 7 - What is Probability Density Function.mp4 | 24.2 MB |
| 8 - The Bell Curve Exploring the Normal Distribution.mp4 | 49.8 MB |
| 9 - Population and Sample in Statistics.mp4 | 12.8 MB |
| 1 - Introduction to Data Visualization.mp4 | 9.2 MB |
| 10 - Visualizing Categorical Data with Count Plots.mp4 | 12.8 MB |
| 11 - Finding Patterns in a Dataset Using Data Visualization.mp4 | 46.5 MB |
| 2 - Project Setup.mp4 | 18.3 MB |
| 3 - Bar Chart Explained.mp4 | 34.2 MB |
| 4 - Downloading Datasets from Kaggle.mp4 | 32.9 MB |
| 5 - Mean, Median and Model.mp4 | 19.7 MB |
| 6 - Histogram and KDE Plot.mp4 | 44.9 MB |
| 7 - Scatter Plot.mp4 | 26.9 MB |
| 8 - Visualizing Relationship with Pairplots.mp4 | 27.0 MB |
| 9 - Bar Plot Explained.mp4 | 24.1 MB |
| 1 - Introduction to Feature Engineering.mp4 | 44.7 MB |
| 10 - MICE Imputation.mp4 | 48.4 MB |
| 11 - How to Detect Outliers in a Dataset.mp4 | 41.7 MB |
| 12 - Feature Construction Explained.mp4 | 7.4 MB |
| 2 - What is Standardization.mp4 | 44.7 MB |
| 3 - What is Normalization.mp4 | 19.5 MB |
| 4 - Ordinal Encoding Explained.mp4 | 19.1 MB |
| 5 - One Hot Encoding (OHE) Explained.mp4 | 46.3 MB |
| 6 - What is Variable Transformation.mp4 | 33.2 MB |
| 7 - How to Handle Mixed Variable in a Dataset.mp4 | 14.0 MB |
| 8 - How to Handle Missing Data in a Dataset.mp4 | 88.9 MB |
| 9 - KNN Imputation.mp4 | 48.9 MB |
| 1 - Introduction to EDA.mp4 | 65.9 MB |
| 10 - Data Analysis.mp4 | 116.8 MB |
| 11 - Feature Engineering in a Dataset.mp4 | 46.4 MB |
| 12 - Data Leakage Explained.mp4 | 32.9 MB |
| 2 - EDA vs Feature Engineering.mp4 | 33.7 MB |
| 3 - Project Setup.mp4 | 22.6 MB |
| 4 - Exploring the Dataset.mp4 | 53.5 MB |
| 5 - Changing Data Types in a Dataset.mp4 | 29.8 MB |
| 6 - How to Perform Imputation on a Dataset.mp4 | 63.9 MB |
| 7 - Imputation on Discreate Features.mp4 | 26.4 MB |
| 8 - Data Cleaning in EDA.mp4 | 50.1 MB |
| 9 - Detecting Outliers in a Dataset.mp4 | 76.5 MB |
| Streaming.csv | 307.2 KB |
| eda-project.ipynb | 356.5 KB |
| requirements.txt | 62 bytes |
| 1 - Thank You.mp4 | 532.6 KB |
| Bonus Resources.txt | 70 bytes |
Name
DL
Uploader
Size
S/L
Added
-
917.6 MB
[7
/
2]
2025-03-07
| Uploaded by freecoursewb | Size 917.6 MB | Health [ 7 /2 ] | Added 2025-03-07 |
-
737.2 MB
[39
/
3]
2024-12-02
| Uploaded by FreeCourseWeb | Size 737.2 MB | Health [ 39 /3 ] | Added 2024-12-02 |
-
434.2 MB
[10
/
3]
2024-10-24
| Uploaded by FreeCourseWeb | Size 434.2 MB | Health [ 10 /3 ] | Added 2024-10-24 |
-
336.1 MB
[6
/
0]
2024-09-11
| Uploaded by FreeCourseWeb | Size 336.1 MB | Health [ 6 /0 ] | Added 2024-09-11 |
NOTE
SOURCE: Udemy Data Science Basics Python Stats Feature Engineering an
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