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



Size :1.0 GB
Peers : Seeders : 0      Leechers : 0
Added : 5 hours ago » by freecoursewb » in Other
Language : English
Last Updated :5 hours ago
Info_Hash :53FBBA6721AB1D62A598581366F3F0353CE99F33

Torrent File Contents

Udemy - Python for Data Science Pro - The Complete Mastery Course
  Get Bonus Downloads Here.url
  -  182 Bytes

  ~Get Your Files Here !/1 - Module 1 Introduction to Python and Data Science/1 - Variables data types and operators.mp4
  -  30.03 MB

  ~Get Your Files Here !/1 - Module 1 Introduction to Python and Data Science/2 - Control Flow Conditionals and Loops.mp4
  -  17.2 MB

  ~Get Your Files Here !/1 - Module 1 Introduction to Python and Data Science/3 - Functions and Modules.mp4
  -  20.09 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/10 - Sorting and Filtering Data.mp4
  -  35.46 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/11 - Grouping and Aggregation.mp4
  -  31.95 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/4 - Understanding Arrays and Matrices.mp4
  -  48.92 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/5 - Array Operations.mp4
  -  33.74 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/6 - DataFrames and Series.mp4
  -  19.93 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/7 - Data Cleaning and Preparation.mp4
  -  33.08 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/8 - Handling Missing Data.mp4
  -  25.84 MB

  ~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/9 - Merging and Joining Data.mp4
  -  30.52 MB

  ~Get Your Files Here !/3 - Module 3 Data Visualization/12 - Basic Plots Line Bar Scatter.mp4
  -  39.09 MB

  ~Get Your Files Here !/3 - Module 3 Data Visualization/13 - Customizing Plots.mp4
  -  58.89 MB

  ~Get Your Files Here !/3 - Module 3 Data Visualization/14 - Subplots and Figures.mp4
  -  26.67 MB

  ~Get Your Files Here !/3 - Module 3 Data Visualization/15 - Creating Interactive Charts.mp4
  -  60.6 MB

  ~Get Your Files Here !/4 - Module 4 Statistical Analysis/16 - Measures of Central Tendency.mp4
  -  29.5 MB

  ~Get Your Files Here !/4 - Module 4 Statistical Analysis/17 - Measures of Variability.mp4
  -  25.59 MB

  ~Get Your Files Here !/4 - Module 4 Statistical Analysis/18 - Normal Binomial and Other Distributions.mp4
  -  47.83 MB

  ~Get Your Files Here !/4 - Module 4 Statistical Analysis/19 - Null and Alternative Hypotheses.mp4
  -  33.49 MB

  ~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/20 - Feature Scaling and Normalization.mp4
  -  37.89 MB

  ~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/21 - Encoding Categorical Variables.mp4
  -  56.91 MB

  ~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/22 - Handling Imbalanced Data.mp4
  -  49.49 MB

  ~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/23 - Linear and Logistic Regression.mp4
  -  100.85 MB

  ~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/24 - Introduction to Time Series Data.mp4
  -  24.1 MB

  ~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/25 - Decomposition ARIMA Models.mp4
  -  71.13 MB

  ~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/26 - Text Preprocessing.mp4
  -  28.78 MB

  ~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/27 - Sentiment Analysis.mp4
  -  20.16 MB

  ~Get Your Files Here !/Bonus Resources.txt
  -  386 Bytes



Torrent Description

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!