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IBM: Data Science and Machine Learning Capstone Project

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4.4 stars

Duration

6 weeks

Pacing

Self-paced

Pricing

Free

IBM: Data Science and Machine Learning Capstone Project
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Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.

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About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
Now that you’ve taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario. Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.
In this capstone project, you’ll explore data sets in New York’s 311 system, which is used by New Yorkers to report complaints for the non-emergency problems they face. Upon being reported, various agencies in New York get assigned to resolve these problems. The data related to these complaints is available in the New York City Open Dataset. On investigation, one can see that in the last few years the 311 complaints coming to the Department of Housing Preservation and Development in New York City have increased significantly.
Your task is to find out the answers to some of the questions that would help the Department of Housing Preservation and Development in New York City effectively tackle the 311 complaints coming to them. You will need to use the techniques you learned in your previous Python, data science, and machine learning courses, including data ingestion, data exploration, data visualization, feature engineering, probabilistic modeling, model validation, and more.
By the end of this course, you will have used real world data science tools to create a showcase project and demonstrate to employers that you are job ready and a worthy candidate in the field of data science.

At a Glance:
Institution: IBM
Subject: Data Analysis & Statistics
Level: Intermediate
Prerequisites:
Completed following courses or proficiency in these topics:
Python Basics for Data Science
Analyzing Data with Python
Visualizing Data with Python
Machine Learning with Python
Language: English
Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
Associated programs:
Professional Certificate in Python Data Science
Professional Certificate in IBM Data Science
Associated skills:Python (Programming Language), Data Science, Data Ingestion, Data Visualization, Feature Engineering, Machine Learning, Model Validation

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IBM: Data Science and Machine Learning Capstone Project
IBM: Data Science and Machine Learning Capstone Project
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