GPT 3.5 & 4: Data Analysis and Machine Learning in Python
Hands-on Data Analysis and Machine Learning in Python + GPT 3.5. Apply GPT-4 to Analyze and Develop ML Models Smoothly.
4.73 (41 reviews)
1,111
students
9 hours
content
Jun 2024
last update
$19.99
regular price
What you will learn
Learn to proficiently use Python for various machine learning tasks, including data cleaning, manipulation, preprocessing, and model development.
Gain expertise in building and implementing supervised machine learning models: Regressions, Classifications, Random Forest, Decision Tree, SVM, and KNN, etc.
Acquire skills in unsupervised machine learning techniques, including KMeans for effective cluster analysis and pattern recognition.
Develop the ability to measure and evaluate the accuracy and performance of machine learning models, enabling decisions on model selection and optimization.
Apply acquired knowledge to real-world scenarios, solving diverse machine learning challenges and developing solutions.
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.
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.
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5866912
udemy ID
3/11/2024
course created date
3/13/2024
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