| 1 - Variables data types and operators.mp4 | 30 MB | ||
| 10 - Sorting and Filtering Data.mp4 | 35.5 MB | ||
| 11 - Grouping and Aggregation.mp4 | 31.9 MB | ||
| 12 - Basic Plots Line Bar Scatter.mp4 | 39.1 MB | ||
| 13 - Customizing Plots.mp4 | 58.9 MB | ||
| 14 - Subplots and Figures.mp4 | 26.7 MB | ||
| 15 - Creating Interactive Charts.mp4 | 60.6 MB | ||
| 16 - Measures of Central Tendency.mp4 | 29.5 MB | ||
| 17 - Measures of Variability.mp4 | 25.6 MB | ||
| 18 - Normal Binomial and Other Distributions.mp4 | 47.8 MB | ||
| 19 - Null and Alternative Hypotheses.mp4 | 33.5 MB | ||
| 2 - Control Flow Conditionals and Loops.mp4 | 17.2 MB | ||
| 20 - Feature Scaling and Normalization.mp4 | 37.9 MB | ||
| 21 - Encoding Categorical Variables.mp4 | 56.9 MB | ||
| 22 - Handling Imbalanced Data.mp4 | 49.5 MB | ||
| 23 - Linear and Logistic Regression.mp4 | 100.9 MB | ||
| 24 - Introduction to Time Series Data.mp4 | 24.1 MB | ||
| 25 - Decomposition ARIMA Models.mp4 | 71.1 MB | ||
| 26 - Text Preprocessing.mp4 | 28.8 MB | ||
| 27 - Sentiment Analysis.mp4 | 20.2 MB | ||
| 3 - Functions and Modules.mp4 | 20.1 MB | ||
| 4 - Understanding Arrays and Matrices.mp4 | 48.9 MB | ||
| 5 - Array Operations.mp4 | 33.7 MB | ||
| 6 - DataFrames and Series.mp4 | 19.9 MB | ||
| 7 - Data Cleaning and Preparation.mp4 | 33.1 MB | ||
| 8 - Handling Missing Data.mp4 | 25.8 MB | ||
| 9 - Merging and Joining Data.mp4 | 30.5 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 29 total files | |||
Python for Data Science Pro: The Complete Mastery Course
https://DevCourseWeb.com
Published 8/2024
Duration: 3h59m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.01 GB
Genre: eLearning | Language: English
Become a Data Science Pro: Master Data Analysis, Visualization, and Machine Learning with Python
What you'll learn
What is Python Data Science and Workflow?
Control Flow: Conditionals and Loops
Understanding Arrays and Matrices
Data Cleaning and Preparation
Merging and Joining Data
Subplots and Figures
Measures of Central Tendency
Measures of Variability
Normal, Binomial, and Other Distributions
Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
Handling Imbalanced Data
Linear and Logistic Regression
Sentiment Analysis
Requirements
No prior knowledge is required!
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