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 Are you eager to dive into the world of Artificial Neural Networks (ANNs) and become proficient in creating neural network models in R? Look no further! Our Neural Networks course offers a comprehensive learning experience that equips you with the knowledge and skills to harness the power of ANNs for solving real-world business problems. What You Will Achieve: Upon completing this course, you'll have the expertise to: Identify business problems suitable for solving with Neural Network Models. Gain a profound understanding of advanced Neural Network concepts like Gradient Descent, forward and backward propagation, and more. Create Neural Network models in R using the Keras and TensorFlow libraries and analyze their outcomes effectively. Build confidence in practicing, discussing, and comprehending Deep Learning concepts. Why This Course Is a Must: Here's why you should choose our course: Verifiable Certificate of Completion: You'll receive a certificate upon course completi

 Data science is a dynamic field that employs a diverse range of techniques and methodologies to unearth valuable insights from data. At its core, data science encompasses both machine learning (ML) and deep learning (DL), which are often utilized in tandem to analyze and interpret data effectively. In this comprehensive course, we will delve into the intricacies of data science, ML, and DL, equipping you with the knowledge and skills needed to excel in this exciting field. Course Overview: Life Cycle of a Data Science Project: Gain an understanding of the entire data science project lifecycle, from data collection to model deployment. Python Libraries for Data Science: Explore the indispensable Python libraries such as Pandas and Numpy, which are extensively used for data manipulation and analysis. Data Visualization with Matplotlib and Seaborn: Learn how to create stunning data visualizations using Matplotlib and Seaborn, enabling you to communicate your findings effectively. Data Pr