Learn Machine Learning 101 Class Bootcamp Course NYC

🌟 Machine Learning 101 Class Bootcamp Course NYC 🌟

Course Introduction:

Embark on a transformative journey into the world of Machine Learning with our Learn Machine Learning 101 Class Bootcamp Course NYC. This comprehensive course is designed for individuals eager to grasp the core concepts and practical applications of Artificial Intelligence (AI) through machine learning. Whether you're a beginner or looking to sharpen your skills, this bootcamp will guide you through the fundamental principles and real-world techniques used by data scientists today.

What You'll Learn:

• 🛠 Python Scikit-learn Library: Dive into one of the most powerful tools for machine learning in Python – Scikit-learn, and explore its capabilities to analyze and model data.
• 📊 Supervised vs Unsupervised Learning: Understand the difference between supervised and unsupervised learning, and learn when to apply each type.
• 🔎 Regression vs Classification models: Discover the nuances of regression and classification models and how they are used to predict outcomes in various datasets.
• 📐 Categorical vs Continuous feature spaces: Learn to handle different types of data, from categorical to continuous features, and how this affects your model's performance.
• 🎮 Modeling Fundamentals: Master the fundamentals of model evaluation, including test-train split, cross validation, understanding the bias-variance tradeoff, and calculating precision and recall, all while working with ensemble models to improve your predictions.
• 📈 Interpreting Results of Regression and Classification Models: Get hands-on experience interpreting the results from regression and classification models to make informed data-driven decisions.
• ⚙️ Parameters and Hyper Parameters: Explore the importance of parameters and hyperparameters in your machine learning models, and learn how to fine-tune them for better performance.
• 🔗 SVM, K-Nearest Neighbor, Neural Networks: Learn about Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Neural Networks, and understand their use cases.
• 🌱 Dimension Reduction: Discover techniques for dimension reduction to improve the efficiency of your models and prevent overfitting.

Hands-On Experience:

• 📊 Understanding and Interpreting Results of Regression and Logistic Regression: Gain practical experience by understanding and interpreting results using Google Spreadsheets and Python. This will help you visualize and comprehend the implications of your models in real-world contexts.
• 📑 Calculating R-Square, MSE, Logit manually: Enhance your understanding of model performance metrics like R-Square, Mean Squared Error (MSE), and Logit by calculating them manually using excel, deepening your grasp of these concepts.
• 📊 Popular Datasets: Explore and analyze popular datasets such as Titanic, Iris, and Housing Prices to apply your skills in real-world scenarios.
• 🚀 Logistic Regression on Titanic Data Set: Run logistic regression on the Titanic dataset to predict survival outcomes.
• 🌿 Regression, Logistic Regression, SVM, and Random Forest on Iris Dataset: Experiment with various models on the Iris dataset to understand their strengths and applications.

Why Join Our Bootcamp?

• Expert-led instruction from seasoned data scientists.
• Real-world projects that mirror industry scenarios.
• A collaborative learning environment where you can network and share knowledge with peers.
• Step-by-step guidance to navigate complex concepts in machine learning.
• Hands-on experience with cutting-edge tools and techniques in AI.
• A pathway to a rewarding career in data science or machine learning.

Ready to unlock your potential and become proficient in Machine Learning? 🤖 Join our Machine Learning 101 Class Bootcamp Course NYC today and transform your career tomorrow! 🚀