7-Day Machine Learning Bootcamp: From Data to Deployment
7-Day Machine Learning Bootcamp: From Data to Deployment Course Objective By the end of this course, participants will understand the entire lifecycle of machine learning models, from data preprocessing to deployment. They will work with supervised and unsupervised learning algorithms, explore recommender systems, and practice model evaluation and deployment strategies. Day 1: Introduction and Data Preprocessing Objective : Understand the basics of machine learning, and learn how to prepare data for training models. Morning : Introduction to Machine Learning Overview of machine learning types: supervised, unsupervised, reinforcement Applications and real-world examples Data Preprocessing Basics Cleaning data: Handling missing values, outliers, and duplicates Feature scaling: Normalization and standardization Encoding categorical variables (One-hot encoding, label encoding) Afternoon : Hands-on Practice: Load and preprocess a sample dataset using Python...