ChatGPT for Data Science and Machine Learning

سرفصل های دوره

Beginner and advanced chatGPT use cases - hypothesis testing, supervised learning, Naive Bayes, ethics in AI

1. Introduction to the data science process and chatGPT

1. Introduction

2. Traditional data science methods and the role of ChatGPT

3. How to install chatGPT

4. How ChatGPT can boost your productivity

2. Data science use cases

1.1 data preprocessing medical data.zip

1.2 patients.csv

1. Data preprocessing with ChatGPT

2.1 diagnosis mapping.csv

2.2 medical data ml attempt.zip

2.3 patients preprocessed.csv

2. First attempt at machine learning with ChatGPT

3.1 customers.csv

3.2 orders.csv

3.3 products.csv

3.4 ratings.csv

3. Analyzing a client database with ChatGPT in Python

4. Analyzing a client database with ChatGPT in Python analyzing top products

5.1 furniture store data analysis.zip

5. Analyzing a client database with ChatGPT in Python analyzing top clients, RFM

6.1 properties.csv

6. Exploratory data analysis (EDA) with ChatGPT - histogram and scatter plot

7.1 properties analysis.zip

7. Exploratory data analysis (EDA) with ChatGPT - correlation matrix, outlier detec

8. Assignment 1.html

9.1 students hypothesis testing.zip

9.2 students.csv

9. Hypothesis testing with ChatGPT

10.1 Marvel Comics.zip

10. Marvels comic book database Intro to Regular Expressions (RegEx)

11.1 marvel comics reg ex.zip

11. Decoding comic book data Python Regular Expressions and ChatGPT

12. Assignment 3.html

13.1 movies metadata.zip

13.2 ratings small.csv

13. Algorithm recommendation Movie Database Analysis with ChatGPT

14. Algorithm recommendation recommendation engine for movies with ChatGPT

15. Assignment 4.html

16. Ethical principles in data and AI utilization

17.1 friendships.csv

17.2 interactions.csv

17.3 posts.csv

17.4 users.csv

17. Using ChatGPT for ethical considerations

3. Intro to the case study

1. Intro to the case study

2.Naive Bayes

3. Tokenization and Vectorization

4. Imbalanced data sets

5. Overcome imbalanced data in machine learning

6. Model performance metrics

4. Case study of user reviews and sentiment analysis

1.1 user courses review 09 2023.csv

1. Loading the Dataset and Preprocessing

2. Optimizing user reviews data preprocessing & EDA

3. Reg Ex for Analyzing Text Review Data

4. Understanding Differences between Multinomial and Bernouilli Naive Bayes

5. Machine learning with Naive Bayes (first attempt)

6.1 365 user reviews naive bayes sentiment analysis.zip

6. Machine learning with Naive Bayes converting the problem to a binary one

7.1 user courses review test set.csv

7. Testing the model on new data

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تولید کننده: Udemy