ChatGPT for Data Science and Machine Learning

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365 Careers

1:57:03

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1. Introduction to the data science process and chatGPT

1. Introduction.mp4

01:52

2. Traditional data science methods and the role of ChatGPT.mp4

05:02

3. How to install chatGPT.mp4

01:43

4. How ChatGPT can boost your productivity.mp4

01:57

2. Data science use cases

1.1 data preprocessing medical data.zip

1.2 patients.csv

1. Data preprocessing with ChatGPT.mp4

04:38

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.mp4

04:21

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.mp4

03:32

4. Analyzing a client database with ChatGPT in Python analyzing top products.mp4

03:32

5.1 furniture store data analysis.zip

5. Analyzing a client database with ChatGPT in Python analyzing top clients, RFM.mp4

03:32

6.1 properties.csv

6. Exploratory data analysis (EDA) with ChatGPT - histogram and scatter plot.mp4

05:06

7.1 properties analysis.zip

7. Exploratory data analysis (EDA) with ChatGPT - correlation matrix, outlier detec.mp4

05:05

8. Assignment 1.html

9.1 students hypothesis testing.zip

9.2 students.csv

9. Hypothesis testing with ChatGPT.mp4

03:54

10.1 Marvel Comics.zip

10. Marvels comic book database Intro to Regular Expressions (RegEx).mp4

01:49

11.1 marvel comics reg ex.zip

11. Decoding comic book data Python Regular Expressions and ChatGPT.mp4

04:08

12. Assignment 3.html

13.1 movies metadata.zip

13.2 ratings small.csv

13. Algorithm recommendation Movie Database Analysis with ChatGPT.mp4

02:48

14. Algorithm recommendation recommendation engine for movies with ChatGPT.mp4

04:01

15. Assignment 4.html

16. Ethical principles in data and AI utilization.mp4

02:51

17.1 friendships.csv

17.2 interactions.csv

17.3 posts.csv

17.4 users.csv

17. Using ChatGPT for ethical considerations.mp4

05:01

3. Intro to the case study

1. Intro to the case study.mp4

02:32

2.Naive Bayes.mp4

04:10

3. Tokenization and Vectorization.mp4

05:25

4. Imbalanced data sets.mp4

02:18

5. Overcome imbalanced data in machine learning.mp4

03:32

6. Model performance metrics.mp4

05:31

4. Case study of user reviews and sentiment analysis

1.1 user courses review 09 2023.csv

1. Loading the Dataset and Preprocessing.mp4

02:19

2. Optimizing user reviews data preprocessing & EDA.mp4

04:10

3. Reg Ex for Analyzing Text Review Data.mp4

03:29

4. Understanding Differences between Multinomial and Bernouilli Naive Bayes.mp4

03:30

5. Machine learning with Naive Bayes (first attempt).mp4

05:51

6.1 365 user reviews naive bayes sentiment analysis.zip

6. Machine learning with Naive Bayes converting the problem to a binary one.mp4

04:35

7.1 user courses review test set.csv

7. Testing the model on new data.mp4

04:49

Description

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

What You'll Learn?

Perform exploratory data analysis (EDA)
Use RegEx
Hypothesis testing
Naive Bayes for sentiment analysis
Movie recommendation engine
Ethics and biases in data and the role of AI

Who is this for?

Data science professionals looking to advance their skillset

Data analysts looking to transition into data science

Anyone looking to leverage the power of AI and data science

What You Need to Know?

Some python and data science knowledge

access to ChatGPT plus

More details

Description
Welcome to the ultimate ChatGPT and Python Data Science courseâ€”your golden ticket to mastering the art of data science intertwined with the latest AI technology from OpenAI.
This course isn't just a learning journeyâ€”it's a transformative experience designed to elevate your skills and empower you with practical knowledge.
With AI's recent evolution, many tasks can be accelerated using models like ChatGPT. We want to share how to leverage AI it for data science tasks.

Embark on a journey that transcends traditional learning paths. Our curriculum is designed to challenge and inspire you through:
Comprehensive Challenges: Tackle 10 concrete data science challenges, culminating in a case study that leverages our unique 365 data to address genuine machine learning problems.
Real-World Applications: From preprocessing with ChatGPT to dissecting a furniture retailer's client database, explore a variety of industries and data types.
Advanced Topics: Delve into retail data analysis, utilize regular expressions for comic book analysis, and develop a ChatGPT-powered movie recommendation system. Engage with such critical topics as AI ethics to combat biases and ensure data privacy.
This course emphasizes practical application over theoretical knowledge, where you will:
Perform dynamic sentiment analysis using a NaÃ¯ve Bayes algorithm.
Craft nuanced classification reports with our proprietary data.
Gain hands-on experience with real datasetsâ€”preparing you to solve complex data science problems confidently.
Weâ€™ll be using ChatGPT, Python, and Jupyter Notebook throughout the course, and Iâ€™ll link all the datasets, Notebooks for you to play around with on your own.
I'll help you create a ChatGPT profile, but Iâ€™ll assume you're adept in Python and somewhat experienced in machine learning.
Are you ready to dive into the future of data science with ChatGPT and Python?
Join us now to unlock the full potential of AI and turn knowledge into action.
Let's embark on this exciting journey together!
Who this course is for:
Data science professionals looking to advance their skillset
Data analysts looking to transition into data science
Anyone looking to leverage the power of AI and data science

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365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 2,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings. Currently, 365 focuses on the following topics on Udemy: 1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook5) Blockchain for BusinessAll of our courses are: - Pre-scripted - Hands-on - Laser-focused - Engaging - Real-life tested By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur365 Careers’ courses are the perfect place to start.

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