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.

Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.

IBM Machine Learning Professional Certificate study materials

This is all my notebooks, lab solutions, and assignments for the IBM Machine Learning Professional Certificate on Coursera.

This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.

Course Notes and Materials of IBM Machine Learning - Professional Certificate in Coursera

Professional Certificate Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.

Here are the learnings from IBM Machine Learning Professional Certification. This repository serves as a comprehensive resource and path for the Machine Learning. The repository delves into various facets of machine learning, equipping learners with skills essential for the data-driven future.

IBM Machine Learning Professional Certificate - IBM - Coursera

Everthing about IBM Machine Learning Professional Certificate @ Coursera

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IBM machine learning professional certificate course by IBM on coursera

This repository contains the final capstone project for the IBM Data Analyst Professional Certificate. It showcases data collection, wrangling, exploratory analysis, visualization, and machine learning skills. Included are Jupyter notebooks, datasets, and a project report, demonstrating practical data analysis on a real-world dataset.

IBM Machine Learning Professional Certificate

Projects and and learning resources from the courses in the IBM Machine Learning Professional Certificate

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Professional Certificate from IBM for developing skills in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning along with special topics, including Time Series Analysis and Survival Analysis

A repo for the assignements of the 'IBM Machine Learning Professional Certificate'

This repository consists of the 6 Final Projects of the IBM Machine Learning Professional Certificate offered by IBM and covers such Machine Learning topics as Exploratory Data Analysis, Supervised Learning, Unsupervised Learning, Deep Learning and Time Series

This IBM Professional Certificate covers machine and deep learning with Python, using SciPy, Scikit-Learn, Keras, PyTorch, and TensorFlow to solve real-world problems through labs and projects.

This repository contains a collection of data science projects which I did during the IBM Data Science Professional certification programme. Each project demonstrates different aspects of data science, data analysis, data visualization and machine learning.

The IBM AI Engineering Professional Certificate on Coursera is a comprehensive program designed to equip learners with the skills necessary to excel in AI and machine learning. This 13-course series covers a wide array of essential AI skills, including machine learning, deep learning, neural networks, and large language models (LLMs)

Data Science is one of the hottest professions of the decade and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. The program consists of 10 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualisation, data analysis, statistical analysis, predictive modelling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that will give you practical skills with applicability to real jobs, including: Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc. Projects: random album generator, predict housing prices, best classifier model, predicting successful rocket landing, dashboard and interactive mapping

This repo contains all the projects done during the IBM Machine Learning Professional Certificate on Coursera.

IBM Machine Learning Specialization

IBM Machine Learning Professional Certificate on Coursera

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Projects: Exploratory data analysis, Regression, Classification, Unsupervised ML, Deep & Reinforcement learning, ML Capstone