Hands-on Machine Learning Tutorial with Pandas, Numpy, Seaborn, Scikit-learn in Python and ChatGPT: A Complete Work-flow
What you'll 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, Random Forest, Decision Tree, SVM, XGBoost, and KNN, etc.
Acquire skills in unsupervised machine learning techniques, including KMeans for effective cluster analysis and pattern recognition.
Learn to create a streamlined and efficient workflow for building machine learning models from scratch, incorporating both Python and ChatGPT.
Develop the ability to measure and evaluate the accuracy and performance of machine learning models, enabling decisions on model selection and optimization.
Explore the integration of ChatGPT into the machine learning workflow, leveraging its capabilities for enhanced data analysis, and generating insights.
Understand strategies for selecting the most suitable machine learning model for a given task, considering factors such as accuracy, and scalability.
Apply acquired knowledge to real-world scenarios, solving diverse machine learning challenges and developing solutions.
Requirements
No coding Experience is Needed.
Desktop/Laptop
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