Download Udemy - Data Science Basics - Python,Stats,Feature Engineering and EDA Torrent

Torrent Contents Size: 3.6 GB

Udemy - Data Science Basics - Python,Stats,Feature Engineering and EDA

▼ show more 71 files

1 - How Python Thinks Execution Flow & Memory Management.mp4	MP4	162.1 MB
1 - Introduction to Data Visualization.mp4	MP4	9.2 MB
1 - Introduction to EDA.mp4	MP4	65.9 MB
1 - Introduction to Feature Engineering.mp4	MP4	44.7 MB
1 - Introduction to Statistics.mp4	MP4	11.2 MB
1 - Introduction to Vectors.mp4	MP4	37 MB
1 - Introduction.mp4	MP4	9.3 MB
1 - Thank You.mp4	MP4	532.6 KB
10 - Common Statistical Terms You Should Know.mp4	MP4	41 MB
10 - Data Analysis.mp4	MP4	116.8 MB
10 - MICE Imputation.mp4	MP4	48.4 MB
10 - Python File Handling.mp4	MP4	122.1 MB
10 - Visualizing Categorical Data with Count Plots.mp4	MP4	12.8 MB
10 - What is the Chain Rule.mp4	MP4	9.2 MB
11 - Feature Engineering in a Dataset.mp4	MP4	46.4 MB
11 - Finding Patterns in a Dataset Using Data Visualization.mp4	MP4	46.5 MB
11 - How to Detect Outliers in a Dataset.mp4	MP4	41.7 MB
11 - Python Multiprocessing.mp4	MP4	96.8 MB
11 - Z-Scores in Statistics.mp4	MP4	40.4 MB
12 - Asyncio in Python.mp4	MP4	182.9 MB
12 - Data Leakage Explained.mp4	MP4	32.9 MB
12 - Feature Construction Explained.mp4	MP4	7.4 MB
12 - Non-Gaussian Distribution Explained.mp4	MP4	91.8 MB
13 - Binomial and Poisson Distribution.mp4	MP4	62.7 MB
13 - List & Dictionary Comprehension in Python.mp4	MP4	91.7 MB
14 - Decorator & Generator in Python.mp4	MP4	110.7 MB
14 - What is Central Limit Theorem.mp4	MP4	8.9 MB
15 - Confidence Interval in Statistics.mp4	MP4	22 MB
15 - Lambda Function in Python.mp4	MP4	16.4 MB
16 - Hypothesis Testing.mp4	MP4	78 MB
16 - Map, Filter & Reduce in Python.mp4	MP4	25 MB
17 - Python Virtual Environment Setup.mp4	MP4	109.3 MB
17 - T-Test and ANOVA.mp4	MP4	57.9 MB
2 - EDA vs Feature Engineering.mp4	MP4	33.7 MB
2 - Levels of Measurement in Statistics.mp4	MP4	25 MB
2 - Project Setup.mp4	MP4	18.3 MB
2 - Python Installation.mp4	MP4	15.2 MB
2 - Types of Vectors.mp4	MP4	16.9 MB
2 - What is Standardization.mp4	MP4	44.7 MB
3 - Bar Chart Explained.mp4	MP4	34.2 MB
3 - Mean, Median & Mode.mp4	MP4	26.8 MB
3 - Project Setup.mp4	MP4	22.6 MB
3 - Python Variables.mp4	MP4	59.2 MB
3 - Vector Addition.mp4	MP4	9.8 MB
3 - What is Normalization.mp4	MP4	19.5 MB
4 - Downloading Datasets from Kaggle.mp4	MP4	32.9 MB
4 - Exploring the Dataset.mp4	MP4	53.5 MB
4 - Ordinal Encoding Explained.mp4	MP4	19.1 MB
4 - Python Loops.mp4	MP4	41.6 MB
4 - What is Probability Distribution Function.mp4	MP4	33.8 MB
4 - What is Vector Span.mp4	MP4	15.5 MB
5 - Changing Data Types in a Dataset.mp4	MP4	29.8 MB
5 - Mean, Median and Model.mp4	MP4	19.7 MB
5 - One Hot Encoding (OHE) Explained.mp4	MP4	46.3 MB
5 - Python Data Structures.mp4	MP4	97 MB
5 - Vector Multiplication.mp4	MP4	44.2 MB
5 - What is Probability Mass Function.mp4	MP4	31.4 MB
6 - Histogram and KDE Plot.mp4	MP4	44.9 MB
6 - How to Perform Imputation on a Dataset.mp4	MP4	63.9 MB
6 - How to import module in Python.mp4	MP4	49.2 MB
6 - Small Correction in PMF.mp4	MP4	4.1 MB
6 - Vectors Explained with a Housing Price Dataset.mp4	MP4	40.7 MB
6 - What is Variable Transformation.mp4	MP4	33.2 MB
7 - How to Handle Mixed Variable in a Dataset.mp4	MP4	14 MB
7 - Imputation on Discreate Features.mp4	MP4	26.4 MB
7 - Python Methods.mp4	MP4	46.8 MB
7 - Scatter Plot.mp4	MP4	26.9 MB
7 - Understanding Derivatives.mp4	MP4	32.3 MB
7 - What is Probability Density Function.mp4	MP4	24.2 MB
8 - Data Cleaning in EDA.mp4	MP4	50.1 MB
8 - How to Handle Missing Data in a Dataset.mp4	MP4	88.9 MB
8 - Python Handling Errors.mp4	MP4	44.1 MB
8 - The Bell Curve Exploring the Normal Distribution.mp4	MP4	49.8 MB
8 - Visualizing Relationship with Pairplots.mp4	MP4	27 MB
8 - What is a Partial Derivative.mp4	MP4	13.1 MB
9 - Bar Plot Explained.mp4	MP4	24.1 MB
9 - Detecting Outliers in a Dataset.mp4	MP4	76.5 MB
9 - Introduction to Gradients in Calculus.mp4	MP4	15 MB
9 - KNN Imputation.mp4	MP4	48.9 MB
9 - Object Oriented Programming in Python.mp4	MP4	222.6 MB
9 - Population and Sample in Statistics.mp4	MP4	12.8 MB
Bonus Resources.txt	TXT	102.4 B
Get Bonus Downloads Here.url	URL	204.8 B
Streaming.csv	CSV	307.2 KB
eda-project.ipynb	IPYNB	356.5 KB
requirements.txt	TXT	102.4 B

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Udemy - Data Science Basics - Python,Stats,Feature Engineering and EDA

Torrent Contents Size: 3.6 GB

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