Data Science & Machine Learning Course - From Basics to Advanced
Learn Data Science and Machine Learning with hands-on tutorials covering Regression, Clustering, AI, and Time Series Forecasting.
Learn Data Science and Machine Learning with hands-on tutorials covering Regression, Clustering, AI, and Time Series Forecasting.
This structured course covers everything from Data Science fundamentals to advanced AI and ML concepts. Learn how to build predictive models, analyze data, work with supervised and unsupervised learning algorithms, and explore real-world applications of AI.
The course includes practical demonstrations with Python and real datasets, helping learners master data preprocessing, feature selection, classification, regression, clustering, and reinforcement learning.
Ideal for beginners and professionals looking to advance their careers in Data Science, AI, and Machine Learning.
Interest in Math, Logic, or Problem-Solving
Basic Python Knowledge
Willingness to Learn Programming & Statistics
No Prior Data Science or ML Experience Required
Analyze and visualize data using Python (Pandas, Matplotlib)
Build and train ML models (linear regression, decision trees, clustering, etc.)
Understand core ML concepts like supervised vs unsupervised learning
Work with real datasets to make predictions and find insights
language
EnglishDuration
122h 42mLevel
beginnerExpiry period
LifetimeCertificate
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