Abhijith14/IBM-Machine-Learning

Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.

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Experimental

This program helps individuals build practical skills in machine learning to advance their careers in AI. It takes raw data and provides the knowledge to apply various machine learning techniques like supervised learning, unsupervised learning, deep learning, and reinforcement learning. This is for aspiring data scientists, AI practitioners, or anyone looking to apply machine learning to real-world problems.

No commits in the last 6 months.

Use this if you want to develop hands-on machine learning skills, understand how to analyze different types of data, and apply specialized techniques like time series and survival analysis.

Not ideal if you are looking for a quick reference guide or a tool for immediate data processing without a focus on learning the underlying principles.

data-science-career machine-learning-training predictive-modeling time-series-forecasting data-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

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Jupyter Notebook

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Last pushed

Aug 17, 2022

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