Unlock the power of machine learning with Generative AI and discover how it can revolutionize your approach to solving business problems. Join us for this immersive workshop, meticulously crafted to equip you with the knowledge, tools, and techniques necessary to excel in machine learning with Generative AI. Through engaging real-life case studies, you will witness how industry experts leverage machine learning to drive success and also understand how to make use of Generative AI tools as a part of the data science journey.
Throughout this 8-hour workshop, we will guide you through the essential modules that make up the machine learning pipeline. From data cleaning to feature engineering, model building, and evaluation, you will gain a comprehensive understanding of each stage. Additionally, we will teach you how to effectively frame a business problem as a machine learning challenge and guide you through the process of building, selecting, and evaluating models. Apart from this, you will master prompt engineering and learn the best practices to write effective prompts for data science tasks.
Module 0: Introduction
- Unveiling the essence of Machine Learning
- Exploring types of ML: Supervised, Unsupervised, Reinforcement
- Understanding ML problem types: Regression, Classification
Module 1: EDA and Linear Models
- Generating insights using EDA and Statistics
- Mastering Linear Regression
- Unleashing the potential of Logistic Regression
- Harnessing the power of Regularization (L1/L2)
Module 2: Prompt Engineering
- What is prompt engineering?
- Understanding basic elements of prompts
- Different prompt engineering techniques
- Tips and best practices to write effective prompts
- Learn best prompts for linear models
Module 3: Model Evaluation
- Navigating Training and Validation Models
- Exploring Evaluation Metrics: Accuracy, RMSE, ROC, AUC, Confusion Matrix, Precision, Recall, F1 Score
- Overcoming Overfitting and Bias-Variance trade-off
- Embracing K-fold Cross Validation
- Write effective prompts for model evaluation
Module 4: Tree-based Models
- Unraveling the intricacies of Decision Trees
- Harnessing the power of Bagging and Boosting
- Unleashing the potential of Random Forest
- Mastering Gradient Boosting Machines
- Discovering Feature Importance techniques
- Build effective prompts for tree based models
Module 5: Model Selection
- Streamlining Model Pipelines
- Unveiling the art of Feature Engineering
- Craft best prompts for feature engineering
Don’t miss this opportunity to gain a competitive edge in the world of machine learning and transform your business strategies. Join us and embark on an enlightening journey towards data-driven success!
- System Requirement and Setup
- Laptop with at least 4-8 GB of RAM
- We will be using Google Colab for the workshop, hence make sure you have a google login and space on your google drive
- Offline Setup [Optional]
Note: These are tentative details and are subject to change.