Udemy - Data Science Basics - Python,Stats,Feature Engineering an...

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 - Introduction.mp4 (9.3 MB)
2 - Python Programming
• 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)
3 - Math for Machine Learning
• 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)
4 - Statistics for Data Science
• 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)
5 - Data Visualization
• 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)
6 - Feature Engineering
• 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)
7 - Exploratory Data Analysis
• 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)
eda-source-code data
• Streaming.csv (307.2 KB)
• eda-project.ipynb (356.5 KB)
• requirements.txt (0.1 KB)
8 - Thank You
• 1 - Thank You.mp4 (532.6 KB)
• Bonus Resources.txt (0.1 KB)