Master Machine Learning Essentials Learn Key Algorithms amp Build RealWorld Applications

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Unleash the power of Artificial Intelligence (AI) with this practical, hands-on course. Dive into the core machine learning algorithms driving innovation in every industry. Gain in-demand skills as you learn to design, build, and deploy a real-world application that showcases your mastery. • Start your FREE trial now – absolutely no risk! 👉https://app.lunartech.ai/?autojoin=1 • Limited spots available – don't miss out! • 🎁 Free Resources: • Six Figure Data Science eBook: https://downloads.tatevaslanyan.com/s... • How to Land Your Dream Data Science Internship: https://join.lunartech.ai/data-scienc... • Mastering Data Science and Analytics Handbook: https://join.lunartech.ai/comprehensi... • The Complete Data Science Roadmap [2024]: https://join.lunartech.ai/complete-da... • Machine Learning Fundamentals Handbook: https://join.lunartech.ai/machine-lea... • Key Features For This Course: • 📈 Confidently understand essential ML algorithms: linear regression, decision trees, neural networks, and more. • 🚀 Transform raw data into actionable insights with practical, step-by-step guidance. • 🔮 Build a portfolio-ready project that demonstrates your proficiency in real-world ML applications. • 🔥 Prepare for a thriving career in data science, machine learning engineering, or AI development. • Ideal For: • 💡 Aspiring data scientists and AI professionals • 💪 Professionals seeking to enhance their knowledge of AI. • Jupyter Notebook Link: https://colab.research.google.com/dri... • TMDB Movies Dataset: https://www.kaggle.com/datasets/ahsan... • Project Files: https://drive.google.com/file/d/1jcfm... • 🚨 Launch Your Data Science Career with LunarTech.AI! 🚨 • Try Free: https://app.lunartech.ai/?autojoin=1 • 🖥️ Resources and Courses to get into Machine Learning • Fundamentals to Machine Learning Course: https://bit.ly/lunartech-signup • Fundamentals to Statistics Course: https://bit.ly/lunartech-signup • Python for Data Science Course: https://bit.ly/lunartech-signup • Introduction to NLP Course: https://bit.ly/lunartech-signup • Deep Learning Interview Prep Course (100 Q A's Part 2): https://bit.ly/lunartech-signup • 👤 Meet Your Instructor: Vahe Karen Aslanyan • 🌐 Powered by: https://lunartech.ai/ • 🔔 Connect with Us: • LunarTech on LinkedIn: / lunartechai • Tatev Aslanyan: / tatev-karen-aslanyan • Vahe Aslanyan: / vahe-aslanyan • ⭐️ Contents ⭐️ • ⌨️ (00:00:00) - Introduction • ⌨️ (00:01:28) - Linear Regression • ⌨️ (00:10:50) - Logistic Regression • ⌨️ (00:19:17) - Linear Discriminant Analysis • ⌨️ (00:27:34) - Logistic Regression vs LDA • ⌨️ (00:35:05) - Naive Bayes • ⌨️ (00:43:51) - Naive Bayes vs Logistic Regression • ⌨️ (00:50:22) - Decision Trees • ⌨️ (01:00:44) - Bagging • ⌨️ (01:09:46) - Random Forest • ⌨️ (01:21:07) - Boosting Or Ensamble Techniques • ⌨️ (01:22:59) - AdaBoost • ⌨️ (01:31:29) - Gradient Boosting Machines (GBM) • ⌨️ (01:39:16) - Extreme Gradient Boosting (XGBoost) • ⌨️ (01:44:27) - Adaboost vs GBM vs XGBoost • ⌨️ (01:47:03) - Introduction to the course and overview of the movie recommendation system project. • ⌨️ (01:53:04) - Detailed look into feature selection, tokenization, and introduction to cosine similarity. • ⌨️ (01:59:05) - Discussion on building a web app using Streamlit to showcase the project. • (02:05:06) - Exploration of Python libraries and tools used for data manipulation and analysis. • ⌨️ (02:11:07) - In-depth explanation of the movie dataset utilized and features important for the recommendation system. • ⌨️ (02:17:08) - Practical demonstration of the recommendation system and explanation of user experience improvements. • ⌨️ (02:23:09) - Comparative analysis of content-based versus collaborative filtering. • #machinelearning #ai #lunartech #datascience #linearregression #machinelearningproject

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