Machine learning and deep learning have triggered a significant shift in various industries, enabling the development of intelligent systems capable of informed decision-making and precise predictions. These transformative technologies have been applied across various real-world projects, reshaping business processes and enhancing outcomes across diverse sectors.The primary aim of this training program is to educate the audience, assuming a foundational understanding of machine learning and deep learning concepts. The focus then shifts towards the practical application of these concepts in tackling real-world challenges and executing projects, many of which are widely recognized and utilized in the industry.Moreover, all coding and model implementation are conducted using Python, enhancing students' proficiency in machine learning while contributing to their mastery of the Python language.The curriculum of this course encompasses the introduction of fundamental machine learning and deep learning algorithms such as Logistic Regression, Multinomial Naive Bayes, Gaussian Naive Bayes, SGDClassifier, and various others, along with diverse model architectures.