Hands-on Data Analysis and Machine Learning in Python + GPT 3.5. Apply GPT-4 to Analyze and Develop ML Models Smoothly.
Sub Category
- Data Science
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Objectives
- 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.
Pre Requisites
- No coding Experience is Needed.
- Laptop/Desktop and Internet
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. 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!
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Coupon Code(s)