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Explore a wide range of free and certified Social and emotional learning online courses. Find the best Social and emotional learning training programs and enhance your skills today!
Learn to train and evaluate classification models, including logistic regression, decision trees, and ensembles. Gain hands-on experience with best practices like handling unbalanced classes and using various error metrics.
Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry.
Master Python-based machine learning techniques from data preprocessing to deep learning, covering regression, classification, clustering, and neural networks with practical implementations.
Aprende a desarrollar modelos de aprendizaje automático escalables con TensorFlow en Google Cloud, desde la estrategia hasta la implementación, con énfasis en problemas prácticos y optimización.
Learn regression and machine learning techniques for investment analysis using R, covering backtesting, risk assessment, and factor models to enhance decision-making in financial markets.
Discover how to transform your learning approach and develop essential professional skills for career success in today's competitive global job market.
Master econometric methods for analyzing causal relationships in social sciences, covering regression models, hypothesis testing, time series analysis, and panel data through practical applications in economics and finance.
Learn Hindi quickly for practical situations. Master essential phrases, cultural insights, and conversational skills without complex grammar. Ideal for travelers and beginners seeking rapid language acquisition.
Master machine learning fundamentals through hands-on PyTorch implementation, covering neural networks, SVMs, deep learning architectures, and practical applications in robotics, computer vision, and text analysis.
This course will enable you mastering machine-learning approaches in the area of investment management.
Aprenda de forma fácil e intuitiva o que são e como funcionam as redes neurais artificiais
Explore supervised learning techniques like decision trees, k-NN, and SVMs. Implement and analyze these algorithms on real business cases, gaining practical skills in data preparation and model evaluation.
Create an interactive ML web app using Streamlit and Python, allowing users to choose algorithms and set parameters without coding, in under 100 lines of code.
Explore fundamental machine learning concepts, including k-Nearest Neighbors, Linear Regression, and Logistic Regression. Gain practical skills for data analysis and predictive modeling.
青木昌彦经济学论文奖系列高端讲堂第十四期
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