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Machine Learning python basics course, in this course we will learn about the Machine Learning Python basics, covering essential concepts and techniques. From understanding the fundamentals of machine learning algorithms to implementing them in Python using libraries like NumPy, Pandas, and Scikit-learn, this course provides a solid foundation. Topics include data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. Additionally, we'll explore deep learning principles with TensorFlow or Keras, natural language processing (NLP) techniques, and time series analysis. By the end, participants will grasp key concepts and practical skills necessary to embark on their machine learning journey.