| 1. Categorical variables visualizations Bar chart, Pie chart and Line plot.mp4 | 277 MB | ||
| 1. Feature encoding assigning numeric values to categorical variables.mp4 | 121.1 MB | ||
| 1. Loading dataset in Jupyter notebook environment.mp4 | 31.7 MB | ||
| 1. Python for Data Analysis (An Overview).mp4 | 31.9 MB | ||
| 1. Setting up ChatGPT.html | 102.4 B | ||
| 1. Understanding data manipulation process.mp4 | 54.6 MB | ||
| 1.1 Data Manipulation with Python + ChatGPT.ipynb | 712.9 KB | ||
| 1.1 Instructions of setting up ChatGPT.pdf | 409.1 KB | ||
| 2. Effortless python programming with ChatGPT (An Overview).mp4 | 26 MB | ||
| 2. Feature binning converting numeric variables into categorical variables.mp4 | 82.8 MB | ||
| 2. Identifying and assigning correct data types.mp4 | 103 MB | ||
| 2. Installation and activation of Python for windows.html | 102.4 B | ||
| 2. Numeric variables visualizations Histogram, Boxplot and Scatterplot.mp4 | 139 MB | ||
| 2.1 Windows.pdf | 929.7 KB | ||
| 3. Creating dummy variables of categorical variables.mp4 | 61.4 MB | ||
| 3. Defining and imputing techniques of missing values.mp4 | 153.6 MB | ||
| 3. Installation and activation of Python for mac.html | 102.4 B | ||
| 3.1 Mac.pdf | 1.5 MB | ||
| 4. Defining and removing abnormal values or harmful outliers.mp4 | 78.4 MB | ||
| 4. Sorting and filtering dataset following conditions.mp4 | 126 MB | ||
| 5. Defining and removing duplicates values from dataset.mp4 | 24.8 MB | ||
| 5. Merging two datasets horizontally or adding extra variables.mp4 | 90.6 MB | ||
| 6. Concatenating two datasets vertically or adding extra data.mp4 | 41.7 MB | ||
| 7. Various methods of transforming skewed data into normally distributed data.mp4 | 214.1 MB | ||
| 8. Extracting days, months and year from date variable.mp4 | 76.5 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Extra data.xlsx | 22.3 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Practice data.csv | 14.6 KB | ||
| Practice data.xlsx | 22.1 KB | ||
| _Extra data.xlsx | 307.2 B | ||
| _Practice data.csv | 307.2 B | ||
| _Practice data.xlsx | 307.2 B | ||
| _additional_data.xlsx | 307.2 B | ||
| _sales data.xlsx | 307.2 B | ||
| additional_data.xlsx | 21.4 KB | ||
| sales data.xlsx | 84.4 KB | ||
| ▲ 37 total files | |||
Easy Python Hacks for Mastering Data Manipulation Techniques
https://FreeCourseWeb.com
Published 8/2023
Created by Shahriar (The Data Wheeler)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 Lectures ( 5h 1m ) | Size: 1.7 GB
Master in Data cleaning and preprocessing with Smooth, Easy and Uncomplicated coding experience in Python using ChatGPT.
What you'll learn
Develop a strong foundational understanding of data manipulation principles and processes, enabling you to confidently handle real-world datasets.
Rapidly analyze data using Python, grasping essential concepts and techniques to efficiently extract insights from raw information.
Configure and set up ChatGPT to enhance your Python programming experience, leveraging AI to streamline your coding tasks.
Implement efficient data cleaning strategies, including handling various Python datatypes, addressing missing values, outliers, and duplicate entries.
Leverage advanced data preprocessing techniques, such as feature encoding, feature binning, sorting, filtering, merging datasets, etc.
Navigate and manage data distribution effectively, ensuring your data is properly structured and ready for analysis.
Confidently work with date variables, ensuring accurate and meaningful analysis of time-based data.
Learn data visualizations using Python and ChatGPT, including bar charts, pie charts, line plots, histograms, box plots, and scatter plots.
Apply the acquired skills through practical exercises and hands-on practice, reinforcing your understanding of each concept and technique.
Requirements
No prior experience is required to take this course.
Beginners are most welcome.
Basic computer literacy.
Interest in data analysis.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.2 GB | freecoursewb | 2 months | 34 | 5 | |
| 1.9 GB | freecoursewb | 9 months | 1 | 1 | |
| 344.1 MB | freecoursewb | 1 year | 8 | 1 | |
| 1.7 GB | freecoursewb | 2 years | 0 | 0 | |
| 564.3 MB | freecoursewb | 3 years | 0 | 0 |
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