Python & ChatGPT for A-Z Data Science and Machine Learning

Python & ChatGPT for A-Z Data Science and Machine Learning, available at $64.99, has an average rating of 4.85, with 80 lectures, 60 quizzes, based on 37 reviews, and has 3222 subscribers.

You will learn about Leverage ChatGPT for generating exact python code required for each tasks of data analysis and data science workflow and even for machine learning. Acquire the skills to clean raw data effectively, covering techniques for handling missing values, addressing different data types, and managing outliers etc. Master data manipulation by learning essential techniques such as sorting, filtering, merging, concatenating, and others using Python's pandas library. Learn exploratory data analysis techniques include frequencies, percentages, group-by operations, pivot tables, crosstabulation, and variable relationships. Dive into the world of data preprocessing with hands-on experience in feature engineering, selection, and scaling to prepare datasets for ML models. Apply your knowledge through a series of practical projects, reinforcing your understanding of each step in the data science workflow. Develop expertise in building and evaluating supervised regression models, including linear regression, random forest, decision tree, xgboost, and more. Gain practical skills in deploying supervised classification models, covering algorithms such as logistic regression, random forest, KNN, and lightgbm. Explore unsupervised learning by understanding and implementing clustering models like KMeans for uncovering hidden patterns in data. Learn Python's syntax, data types, variables, and operators to construct simple programs and execute basic functions. Become proficient in using essential Python libraries for data science, including pandas, numpy, seaborn, matplotlib, scikit-learn, and scipy. Test your knowledge and reinforce your learning through a series of seven-layered quizzes that cover various aspects of the data science workflow. Learn to regulate program flow, use loops and conditional statements like if, elif, and else. Experience the integration of ChatGPT to rise your understanding of data science applications through interactive conversations and real-world problem-solving. Acquire skills to use Python lists, dictionaries, tuples, and sets. This course is ideal for individuals who are Beginners Data Scientists or Anyone Curious About Data Science or Python and Data Enthusiast It is particularly useful for Beginners Data Scientists or Anyone Curious About Data Science or Python and Data Enthusiast.

Enroll now: Python & ChatGPT for A-Z Data Science and Machine Learning

Summary

Title: Python & ChatGPT for A-Z Data Science and Machine Learning

Price: $64.99

Average Rating: 4.85

Number of Lectures: 80

Number of Quizzes: 60

Number of Published Lectures: 80

Number of Published Quizzes: 60

Number of Curriculum Items: 140

Number of Published Curriculum Objects: 140

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

• Leverage ChatGPT for generating exact python code required for each tasks of data analysis and data science workflow and even for machine learning.
• Acquire the skills to clean raw data effectively, covering techniques for handling missing values, addressing different data types, and managing outliers etc.
• Master data manipulation by learning essential techniques such as sorting, filtering, merging, concatenating, and others using Python's pandas library.
• Learn exploratory data analysis techniques include frequencies, percentages, group-by operations, pivot tables, crosstabulation, and variable relationships.
• Dive into the world of data preprocessing with hands-on experience in feature engineering, selection, and scaling to prepare datasets for ML models.
• Apply your knowledge through a series of practical projects, reinforcing your understanding of each step in the data science workflow.
• Develop expertise in building and evaluating supervised regression models, including linear regression, random forest, decision tree, xgboost, and more.
• Gain practical skills in deploying supervised classification models, covering algorithms such as logistic regression, random forest, KNN, and lightgbm.
• Explore unsupervised learning by understanding and implementing clustering models like KMeans for uncovering hidden patterns in data.
• Learn Python's syntax, data types, variables, and operators to construct simple programs and execute basic functions.
• Become proficient in using essential Python libraries for data science, including pandas, numpy, seaborn, matplotlib, scikit-learn, and scipy.
• Test your knowledge and reinforce your learning through a series of seven-layered quizzes that cover various aspects of the data science workflow.
• Learn to regulate program flow, use loops and conditional statements like if, elif, and else.
• Experience the integration of ChatGPT to rise your understanding of data science applications through interactive conversations and real-world problem-solving.
• Acquire skills to use Python lists, dictionaries, tuples, and sets.

Who Should Attend

• Beginners Data Scientists
• Anyone Curious About Data Science
• Python and Data Enthusiast

Target Audiences

• Beginners Data Scientists
• Anyone Curious About Data Science
• Python and Data Enthusiast