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Udemy Data Science Basics Python Stats Feature Engineering an

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Downloads:

11

Type:

Tutorials

Language:

English

Category:

Other

Size:

3.6 GB

Added:

Nov. 13, 2025, 4:22 a.m.

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Files:

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

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