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.
Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.
This repository provides an online certification program in Data Science and Machine Learning offered by IBM and Coursera. The program covers topics such as data science methodology, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. The courses are hands-on and conducted on the IBM Cloud,
This repository encompasses various techniques of Regression, Classification, Clustering, Dimensionality Reduction, Deep Learning, and Recommendation Systems.
Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.
Capstone project for IBM Data Science Professional Certificate on Coursera
Practical Implementations of data management such as ETL Processes and SQL queries.
IBM Data Science Professional Certificate Coursera Notes
This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.
This repository includes Data Collection, Mining, Visualization, Analytics, and Machine Learning projects via Python, and SQL.
Basic movie recommendation projects to apply learning from one of the lab in the Machine Learning course of the IBM Professional Certificate
This is a repository for the IBM Python for Data Engineering Project, completed as part of the IBM Data Engineering Professional Certificate.
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