澳大利亚皇家墨尔本理工大学(RMIT)补习:实用数据科学Practical Data Science with PythonPython辅导补习及选课指导 我们能辅导海外各大院校的各种热门冷门专业,点击下方链接咨询(备注:知乎 享平台专属试听课,及套餐优惠) 考而思教育 - 客服咨询www6c1.53kf.com/webCompany.php?arg=10207346&kf_sign=jczMTMTYzMQ3NjEx...
Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors. What You’ll Learn Play the role of a data scientist when completing increasingly challenging exercises using Python 3 Work ...
Foundations of Data Science: A Practical Introduction to Data Science with PythonJonathan Dinu
Learn Python, data science, machine learning, and software engineering at a top programming school in NYC, Chicago, and Live Online.
Week 1:Getting Started with Python Week 2: Data Preparation and Visualization Week 3: Getting started with Machine Learning with 2 guided projects Week 4: Building you Data Science projects Each week we will have 2 live events as follows: ...
The video takes you through with machine learning problems that you may encounter in your everyday use. In the end, the video will cover the time series and recommender system. By the end of the video course, you will become an expert in Data Science Techniques using Python. ...
EcommerceTools is a data science toolkit for those working in technical ecommerce, marketing science, and technical seo and includes a wide range of features to aid analysis and model building. The package is written in Python and is designed to be used with Pandas and works within a Jupyter...
Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2 - WinVector/PDSwR2
A Practical Guide to Anonymizing Datasets with Python & Faker How Not to Lose Friends and Alienate People Benjamin Bengfort If you want to keep a secret, you must also hide it from yourself. — George Orwell 1984In order to learn (or teach) data science you need data (surprise!). The...
He has a rich experience of working in both senior individual contributor and managerial roles in the data science industry with multiple companies such as Amazon, VMware, Mu Sigma, and more. His research interests are in streaming data, deep learning, machine learning, spatial point processes, ...