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Predict Career Longevity for NBA Rookies using Scikit-learn

By the end of this project, you will be able to apply data analysis to predict career longevity for NBA Rookie using python. Determining whether a player’s career will flourish or not became a science based on the player’s stats. Throughout the project, you will be able to analyze players’ stats and build your own binary classification model using Scikit-learn to predict if the NBA rookie will last for 5 years in the league if provided with some stats such as Games played, assists, steals and turnovers …. etc.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Learns to use NumPy and Pandas libraries

Guides learners through hands-on projects

Covers topics that may be of interest to those interested in Python, programming, and data analysis

Helps students assess the longevity of NBA rookies based on their statistics

Students who have a curiosity for NBA may find this course interesting

This course may be of use to those interested in exploring data analysis for sports

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Reviews summary

Practical nba prediction with scikit-learn

According to students, this course provides a strong hands-on introduction to using Scikit-learn for binary classification with real-world NBA data. Learners praise the clear and concise explanations and its effectiveness for those new to machine learning but familiar with Python. While it excels as a practical project, some note it lacks theoretical depth and may be too basic for experienced users. There are also minor concerns about the data feeling a bit dated or needing updates to Scikit-learn versions.

Ideal for newcomers to machine learning concepts.

"Absolutely loved this course! As someone new to machine learning but familiar with Python, this was perfect."

"The instructor's explanations were clear and concise. The steps were easy to follow."

"Highly recommend for beginners to intermediate data science enthusiasts."

Excellent for practical application of Scikit-learn.

"This project was a fantastic hands-on introduction to applying Scikit-learn for a real-world prediction problem."

"Building a classification model from scratch and seeing it predict NBA careers was incredibly engaging."

"Excellent project to get hands-on with Scikit-learn and practical machine learning. The data set was fun to work with."

"The project-based approach is effective and helped solidify my understanding."

Concerns about the data and tools being current.

"The data presented felt a little dated, which can affect predictive power."

"The course could benefit from an update to the latest Scikit-learn versions or more modern techniques."

Offers limited challenge for experienced learners.

"My main feedback would be that a deeper dive into model tuning or alternative models beyond the basic one would have been beneficial for intermediate users."

"The project is straightforward but doesn't offer much challenge for experienced users. I was looking for something more advanced."

Does not provide deep understanding of ML theory.

"I felt like it skipped over some important theoretical aspects of classification and feature selection. Don't expect deep understanding without external resources."

"The explanations were too superficial for me, and I felt like I was just copying code without truly understanding why."

"Not recommended for those who want a strong theoretical foundation."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Predict Career Longevity for NBA Rookies using Scikit-learn with these activities:

Review statistics

Show steps

Find a refresher on statistics to prime your brain for applying data analysis in this course.

Browse courses on Statistics

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Review the concept of probability distributions.
Take practice problems on hypothesis testing.
Look up regression models.

Follow a tutorial for building a binary classification model

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Build a solid foundation for this course by following a tutorial that will help you build your own model.

Browse courses on scikit-learn

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Watch a video or read an article on binary classification.
Find a tutorial that walks you through Scikit-learn.
Build a model using the tutorial's dataset.

Help other learners in the course

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Reinforce your knowledge by explaining concepts to other learners in the course.

Browse courses on Mentoring

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Join online forums and discussion boards.
Answer questions and provide support to other learners.

Four other activities

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Show all seven activities

Join a study group to discuss NBA career longevity

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Connect with other learners to collaborate on the project and exchange ideas that might improve your understanding.

Browse courses on Networking

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Find a study group that is working on similar topics.
Meet with the group regularly to discuss the course material and work on the project together.

Solve practice problems on career longevity prediction

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Sharpen your analytical skills by solving problems that prepare you for this project.

Browse courses on NBA

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Find practice problems related to career longevity prediction.
Solve the problems using the methods you learned in the course.

Create a dashboard that visualizes player career longevity

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Solidify your understanding of data analysis by creating a visualization that summarizes player career longevity.

Browse courses on Data Visualization

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Gather data on NBA player career longevity.
Choose a data visualization tool.
Create a dashboard that visualizes the data.

Contribute to an open-source project that predicts player career longevity

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Hone your skills in a real-world setting by contributing to a project that aligns with the course material.

Browse courses on Open Source

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Find an open-source project that predicts player career longevity.
熟悉项目代码库。
Make a contribution to the project.

Career center

Learners who complete Predict Career Longevity for NBA Rookies using Scikit-learn will develop knowledge and skills that may be useful to these careers:

Data Scientist

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See salaries and explore the career path for Data Scientist

Sports Analyst

Sports analysts use their skills in data analysis, statistics, and sports knowledge to analyze sports data. This course will help you build a foundation in sports analytics, which is essential for this role. You will learn about different sports analytics techniques, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

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Machine Learning Engineer

Machine learning engineers design and implement machine learning models. This course will help you build a foundation in machine learning, which is essential for this role. You will learn about different machine learning algorithms, how to train and evaluate models, and how to deploy models to production. This course will also help you develop the programming skills needed to implement machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Operations Research Analyst

Operations research analysts use their skills in mathematics, statistics, and computer programming to solve business problems. This course will help you build a foundation in operations research, which is essential for this role. You will learn about different operations research techniques, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

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Quantitative Analyst

Quantitative analysts use their skills in mathematics, statistics, and computer programming to develop financial models. This course will help you build a foundation in quantitative finance, which is essential for this role. You will learn about different financial models, how to build and evaluate them, and how to use them to make investment decisions.

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Statistician

Statisticians use their skills in mathematics, statistics, and computer programming to collect, analyze, and interpret data. This course will help you build a foundation in statistics, which is essential for this role. You will learn about different statistical methods, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

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Market Research Analyst

Market research analysts use their skills in data analysis, statistics, and marketing knowledge to understand consumer behavior. This course will help you build a foundation in market research, which is essential for this role. You will learn about different market research techniques, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

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Data Engineer

Data engineers use their skills in computer programming, data management, and cloud computing to build and manage data pipelines. This course will help you build a foundation in data engineering, which is essential for this role. You will learn about different data engineering techniques, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

See salaries and explore the career path for Data Engineer

Data Analyst

Data analysts use their skills in data mining, statistics, and predictive modeling to extract meaningful insights from data. This course will help you build a foundation in data analysis, which is essential for this role. You will learn how to clean and prepare data, perform exploratory data analysis, and build predictive models. This course will also help you develop the communication skills needed to present your findings to stakeholders.

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Biostatistician

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Actuary

Actuaries use their skills in mathematics, statistics, and finance to assess risk and develop insurance products. This course will help you build a foundation in actuarial science, which is essential for this role. You will learn about different actuarial techniques, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

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Risk Manager

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Business Analyst

Business analysts use their skills in data analysis, statistics, and business knowledge to improve business processes. This course will help you build a foundation in business analysis, which is essential for this role. You will learn about different business analysis techniques, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial analysts use their skills in mathematics, statistics, and finance to analyze financial data. This course will help you build a foundation in financial analysis, which is essential for this role. You will learn about different financial analysis techniques, how to apply them to real-world problems, and how to communicate your findings to stakeholders.

See salaries and explore the career path for Financial Analyst

Software Engineer

Software engineers use their skills in computer programming to design, develop, and maintain software applications. This course may be useful for this role, as it will help you build a foundation in machine learning, which is increasingly being used in software development. You will learn about different machine learning algorithms, how to train and evaluate models, and how to deploy models to production.

See salaries and explore the career path for Software Engineer

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Predict Career Longevity for NBA Rookies using Scikit-learn .

Dripps/Eckenhoff/Vandam Introduction to Anesthesia

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Provides an overview of machine learning techniques and their applications in sports analytics. It covers a wide range of topics, from data preprocessing to model evaluation. This book valuable resource for anyone interested in using machine learning to analyze sports data, including NBA player career longevity.

Dripps/Eckenhoff/Vandam: Introduction to Anesthesia

Hardcover

$$$

Legacy and the Double

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Provides an insight into the mind of one of the greatest basketball players of all time. It covers a wide range of topics, from his training regimen to his mental approach to the game. This book valuable resource for anyone interested in learning more about the Mamba Mentality.

Legacy and the Double (Legacy, 2)

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The Wages of Wins

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Uses data analysis to examine the relationship between player salaries and team performance in the NBA. It provides a unique perspective on the economics of the NBA and the value of different players.

Basketball on Paper

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Provides a set of rules and tools for analyzing basketball performance. It covers a wide range of topics, from player evaluation to team strategy. This book valuable resource for anyone interested in using data analysis to improve their basketball knowledge.

Pro Basketball Prospectus 2012-13

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Provides an annual analysis of the NBA season. It covers a wide range of topics, from player projections to team rankings. This book valuable resource for anyone interested in keeping up with the latest developments in the NBA.

Pro Basketball Prospectus 2012-13

Paperback

The Book of Basketball

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Comprehensive history of basketball, from its origins to the present day. It provides a wealth of information about players, teams, and strategies. This book valuable resource for anyone interested in learning more about the history of basketball.

The Book of Basketball: The NBA According to The...

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The Book of Basketball: The NBA According to The...

Unknown Binding

The Book of Basketball: The NBA According to The...

Kindle Edition

How to Watch Basketball Like a Genius

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Provides a guide to watching basketball intelligently. It covers a wide range of topics, from player evaluation to team strategy. This book valuable resource for anyone interested in learning more about the game of basketball.

How to Watch Basketball Like a Genius: What Game...

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How to Watch Basketball Like a Genius: What Game...

Kindle Edition

Sport Development in the United States

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Provides a comprehensive history of the National Basketball Association (NBA). It covers the league's origins, its major events, and its most famous players. This book valuable resource for anyone interested in learning more about the history of the NBA.

Sport Development in the United States (Routledge...

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Sport Development in the United States: High...

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Corrupting Dr. Nice

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Provides a guide to thinking about basketball intelligently. It covers a wide range of topics, from player evaluation to team strategy. This book valuable resource for anyone interested in learning more about the game of basketball.

Basketball

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Provides a personal account of the game of basketball. It covers a wide range of topics, from the history of the game to the lives of its players. This book valuable resource for anyone interested in learning more about the human side of basketball.

Basketball: A Love Story

Paperback

Basketball: A Love Story

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