Beginner Regression

Clear and simple explanations of machine learning algorithms. Understand the math and intuition behind ML with Josh Starmer.

Google's fast-paced, practical introduction to machine learning. A self-study guide for aspiring machine learning practitioners.

Learn How I'd learn ML in 2025 (if I could start over)

Natural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn

Data Scientist Path

The Data Science Program

IBM Data Science Professional Certificate

This free course covers the fundamentals of regression analysis, including linear regression, logistic regression, and other advanced techniques. It also provides hands-on coding experience in Python.

This course explores various ensemble techniques, including bagging, boosting, and stacking, to improve the performance of your machine learning models.

This free course covers the fundamentals of supervised learning, including regression, classification, and clustering.

If you are interested in Machine Learning, Neural Networks, Deep Learning, Deep Neural Networks (DNNs), and Convolution Neural Networks (CNNs) with an in-depth and clear understanding, then this course is for you.Topics are explained in detail. Concepts are developed progressively in a step by step manner. I sometimes spent more than 10 minutes discussing a single slide instead of rushing through it. This should help you to be in sync with the material presented and help you better understand it.The hands-on examples are selected primarily to make you familiar with some aspects of TensorFlow 2 or other skills that may be very useful if you need to run a large and complex neural network job of your own in the future.Hand-on examples are available for you to download.Please watch the first two videos to have a better understanding of the course.TOPICS COVERED What is Machine Learning?Linear Regression Steps to Calculate the Parameters Linear Regression-Gradient Descent using Mean Squared Error (MSE) Cost Function Logistic Regression: Classification Decision Boundary Sigmoid Function Non-Linear Decision Boundary Logistic Regression: Gradient Descent Gradient Descent using Mean Squared Error Cost Function Problems with MSE Cost Function for Logistic Regression In Search for an Alternative Cost-Function Entropy and Cross-Entropy Cross-Entropy: Cost Function for Logistic Regression Gradient Descent with Cross Entropy Cost Function Logistic Regression: Multiclass Classification Introduction to Neural Network Logical Operators Modeling Logical Operators using Perceptron(s)Logical Operators using Combination of Perceptron

Master Deep Learning with Python for AI Excellence Course Description: This meticulously crafted course is designed to empower you with comprehensive knowledge and practical skills to thrive in the world of artificial intelligence.Immerse yourself in engaging lectures and hands-on lab sessions that cover fundamental concepts, cutting-edge methodologies, and real-world applications of deep learning. Gain expertise in essential Python libraries, machine learning algorithms, and advanced techniques, setting a solid foundation for your AI career.Course Highlights:In-Demand Skills: Acquire the highly sought-after skills demanded by today's AI-centric job market, opening doors to data science, machine learning, and AI development roles.Hands-On Learning: Learn by doing! Our interactive lab sessions ensure you gain practical experience, from data preprocessing to model evaluation, making you a proficient deep learning practitioner.Comprehensive Curriculum: From foundational Python libraries like Pandas and Num Py to cutting-edge neural network architectures like CNNs and RNNs, this course covers it all. Explore linear regression, logistic regression, decision trees, clustering, anomaly detection, and more.Expert Guidance: Our experienced instructors are committed to your success. Receive expert guidance, personalized feedback, and valuable insights to accelerate your learning journey.Project-Based Learning: Strengthen your skills with real-world projects that showcase your <