| 1. Feature scaling and preprocessing.mp4 | 30.4 MB | ||
| 1. Getting Started with GPT-4 Data Analyst.mp4 | 8 MB | ||
| 1. Nominal data analysis.mp4 | 28.7 MB | ||
| 1. One-way ANOVA analysis.mp4 | 52.4 MB | ||
| 1. Opening a ChatGPT Account.mp4 | 8 MB | ||
| 1. Sorting dataset.mp4 | 23 MB | ||
| 1. Statistical data analysis.mp4 | 30.4 MB | ||
| 1. What is data analysis.mp4 | 10.6 MB | ||
| 2. Complete data analysis workflow.mp4 | 9.9 MB | ||
| 2. Confidence level, significance level & P-value.mp4 | 27.4 MB | ||
| 2. Descriptive analysis.mp4 | 45.8 MB | ||
| 2. Filtering datasets.mp4 | 25.4 MB | ||
| 2. Identify missing values.mp4 | 23.8 MB | ||
| 2. Pearson correlation analysis.mp4 | 27.7 MB | ||
| 2. Practice Datasets.html | 102.4 B | ||
| 2. Splitting data into train and test sets.mp4 | 19.3 MB | ||
| 2.1 Cleaned_Data.xlsx | 74.6 KB | ||
| 2.2 data 1.xlsx | 41.9 KB | ||
| 2.3 data 2.xlsx | 45.2 KB | ||
| 2.4 Data for cleaning.xlsx | 74.4 KB | ||
| 3. Build and evaluate ML models.mp4 | 37.8 MB | ||
| 3. Complete hypothesis testing workflow.mp4 | 29.8 MB | ||
| 3. Group by data analysis.mp4 | 19.8 MB | ||
| 3. Impute missing values.mp4 | 32.9 MB | ||
| 3. Inner joining method.mp4 | 35.6 MB | ||
| 3. Regression analysis.mp4 | 46.2 MB | ||
| 4. Crosstabulation analysis.mp4 | 59.9 MB | ||
| 4. Exploring data types.mp4 | 18.1 MB | ||
| 4. Other joining methods.mp4 | 26.2 MB | ||
| 5. Box-cox transformation.mp4 | 35.3 MB | ||
| 5. Correlation analysis.mp4 | 34.7 MB | ||
| 5. Finding inconsistent values.mp4 | 14.8 MB | ||
| 6. Dropping inconsistent values.mp4 | 18.7 MB | ||
| 6. Feature binning.mp4 | 22.9 MB | ||
| 7. Dealing with duplicates.mp4 | 42.4 MB | ||
| 7. Feature encoding.mp4 | 18.4 MB | ||
| 8. Creating dummy variables.mp4 | 18.8 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 39 total files | |||
GPT-4 Data Analyst: Analyze Data in Seconds
https://FreeCourseWeb.com
Published 2/2024
Created by The GPT Xpert
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 33 Lectures ( 2h 39m ) | Size: 883 MB
Leverage the Powerful ChatGPT-4 to Clean, Manipulate, Analyze Data and Develop ML Models Instantly, Easily and Smoothly.
What you'll learn:
Learn to efficiently prepare and clean datasets using GPT-4, including handling missing data, outliers, and data type conversions.
Master the use of GPT-4 for advanced data manipulation tasks, such as merging datasets, creating pivot tables, and applying conditional logic.
Gain proficiency in using GPT-4 to perform complex data analysis, including statistical analysis, trend identification, and pattern recognition.
Develop skills to utilize GPT-4 for creating and interpreting a variety of data visualizations, such as histograms, scatter plots, and line graphs.
Learn to apply GPT-4 for predictive analytics, including random forest regressor and other machine learning models.
Acquire the ability to automate repetitive data analysis tasks using GPT-4, enhancing efficiency and productivity.
Requirements:
Knowledge in python programming
Laptop/Desktop and Internet
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