Udemy - Python for Data Science Pro - The Complete Mastery Course

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1 GB
  • Uploaded Byfreecoursewb
  • Downloads63
  • Last checkedSep. 20th '24
  • Date uploadedSep. 19th '24
  • Seeders 12
  • Leechers18

Infohash : 53FBBA6721AB1D62A598581366F3F0353CE99F33

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!

Files:

[ DevCourseWeb.com ] Udemy - Python for Data Science Pro - The Complete Mastery Course
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Module 1 Introduction to Python and Data Science
    • 1 - Variables data types and operators.mp4 (30.0 MB)
    • 2 - Control Flow Conditionals and Loops.mp4 (17.2 MB)
    • 3 - Functions and Modules.mp4 (20.1 MB)
    2 - Module 2 Data Manipulation with Python
    • 10 - Sorting and Filtering Data.mp4 (35.5 MB)
    • 11 - Grouping and Aggregation.mp4 (31.9 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)
    3 - Module 3 Data Visualization
    • 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)
    4 - Module 4 Statistical Analysis
    • 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)
    5 - Module 5 Introduction to Machine Learning
    • 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)
    6 - Module 6 Advanced Topics in Data Science
    • 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)
    • Bonus Resources.txt (0.4 KB)

Code:

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