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"Unleashing Intelligence with Python and Machine Learning"
Updated on Sep, 2026
Programming, Data Science, Machine Learning
Training 5 or more people ?
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This course serves as an introduction to the field of machine learning with a focus on implementation using the Python programming language. Machine learning is a branch of artificial intelligence that enables systems to learn from data and make predictions or decisions without being explicitly programmed. Python has emerged as one of the most popular programming languages for machine learning due to its simplicity, versatility, and a rich ecosystem of libraries such as scikit-learn, Mlxtend, Pandas, Seaborn, SciPy, etc.
Throughout this course, students will explore fundamental machine learning concepts, algorithms, and techniques, and gain hands-on experience in implementing them using Python.
Understand the fundamental concepts of machine learning and its applications across various domains.
Learn the process of data preprocessing, including handling missing data, feature scaling, and encoding categorical variables.
Master a variety of supervised learning algorithms such as linear regression, logistic regression, decision trees, support vector machines, and KNN.
Explore unsupervised learning techniques including clustering, dimensionality reduction, and association rule learning.
Develop the ability to critically analyze and interpret machine learning results and make data-driven decisions.
Build a solid foundation for further studies or career advancement in the field of machine learning and artificial intelligence.
Knowledge of Python Programming.
Check out the detailed breakdown of what’s inside the course
Myself Dr. Prerna Agrawal a professor with a passion for teaching students and shaping their careers in IT. I have more than 13+ years of teaching experience and have a specialization in Machine Learning, Data Science, Cloud Computing, Big Data, Mobile Technology, Databases etc. The teaching style for programming will be fully based on live practical demo sessions.
Learning with me will be fun, and the outcome will be that the student will be able to use the knowledge gained from real-time problems to obtain solutions.
The methodology used will be presentations, practical demos, practical exercises and case studies to be solved.
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