ChatGPT for Data Science and Building ML Models

ChatGPT for Data Science and Building ML Models, available at Free, has an average rating of 4.6, with 7 lectures, based on 79 reviews, and has 4241 subscribers.

You will learn about Learners will develop the skills and knowledge needed to effectively interact with ChatGPT Participants will learn how to harness ChatGPTs capabilities to assist in data exploration mploy ChatGPT for generating descriptive statistics, data visualizations, and exploratory analysis Learners will become proficient in utilizing ChatGPT for guidance on building regression models, with a specific focus on the powerful XGBoost algorithm Participants will gain expertise in evaluating machine learning models using advanced techniques such as cross-validation, RMSE, and R-Squared Learners will acquire the ability to interact with ChatGPT to generate reports summarizing end-to-end data science and machine learning work This course is ideal for individuals who are Anybody can enroll it. It is particularly useful for Anybody can enroll it.

Enroll now: ChatGPT for Data Science and Building ML Models

Summary

Title: ChatGPT for Data Science and Building ML Models

Price: Free

Average Rating: 4.6

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Learners will develop the skills and knowledge needed to effectively interact with ChatGPT

Participants will learn how to harness ChatGPTs capabilities to assist in data exploration

mploy ChatGPT for generating descriptive statistics, data visualizations, and exploratory analysis

Learners will become proficient in utilizing ChatGPT for guidance on building regression models, with a specific focus on the powerful XGBoost algorithm

Participants will gain expertise in evaluating machine learning models using advanced techniques such as cross-validation, RMSE, and R-Squared

Learners will acquire the ability to interact with ChatGPT to generate reports summarizing end-to-end data science and machine learning work

Who Should Attend

Anybody can enroll it.

Target Audiences

Anybody can enroll it.

By the end of this course, participants will have the knowledge and skills to leverage ChatGPT as a valuable tool throughout the data science and machine learning pipeline, from data exploration and model development to evaluation and reporting. This comprehensive training will empower them to excel in real-world data science projects and contribute meaningfully to their organizations’ success.

Below are the objectives or outcomes that learners can expect to achieve after completing your course on ChatGPT for Data Science and ML Model Building:

1. Proficient Interaction with ChatGPT for Data Science:

Learners will develop the skills and knowledge needed to effectively interact with ChatGPT, utilizing its natural language processing capabilities to streamline data science tasks.

They will gain the ability to ask relevant questions, request data summaries, and seek insights from ChatGPT to enhance their data exploration and analysis process.

2. Data Exploration and Visualization with ChatGPT:

Participants will learn how to harness ChatGPT’s capabilities to assist in data exploration.

They will acquire the skills to employ ChatGPT for generating descriptive statistics, data visualizations, and exploratory analysis, enabling them to uncover valuable insights from their datasets.

3. Building Regression Models with XGBoost:

Learners will become proficient in utilizing ChatGPT for guidance on building regression models, with a specific focus on the powerful XGBoost algorithm.

They will learn the best practices for feature selection, hyperparameter tuning, and model training with ChatGPT’s assistance, resulting in robust and accurate regression models.

4. Advanced Model Evaluation Techniques:

Participants will gain expertise in evaluating machine learning models using advanced techniques such as cross-validation, RMSE (Root Mean Square Error), and R-squared.

They will be able to leverage ChatGPT’s insights to interpret model performance metrics, identify areas for improvement, and make data-driven decisions for model selection and refinement.

5. Creating Comprehensive End-to-End Reports:

Learners will acquire the ability to interact with ChatGPT to compile and generate comprehensive reports summarizing their end-to-end data science and machine learning work.

They will learn to effectively communicate their findings, model results, and recommendations in a professional and concise manner, enhancing their ability to convey the value of their work to stakeholders.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Project Objective and Dataset Walkthrough

Chapter 2: Data Profiling and Exploration

Lecture 1: Introduction

Lecture 2: Exploratory Data Analysis and Visualization

Chapter 3: Model Building and Training

Lecture 1: Feature Engineering and Transformation

Lecture 2: Model Training and Validation

Chapter 4: Business Report

Lecture 1: Learn to Write Summarize Business Report

Instructors

Mohit Jain
Principal Data Scientist

Rating Distribution

1 stars: 4 votes

2 stars: 1 votes

3 stars: 11 votes

4 stars: 31 votes

5 stars: 32 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!