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.
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, and directional statistics. As a researcher, he has multiple publications in top international peer-...
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. ...
Work with usIf you or your team wants to get an introduction into data science and machine learning or a deep dive into a special topic, we are there to support you! Just contact us by email and we will work out a fitting proposal....
Code, Data, and Examples for Practical Data Science with R 2nd edition (Nina Zumel and John Mount) https://github.com/WinVector/PDSwR2 - WinVector/PDSwR2
Manohar Swamynathan is a data science practitioner and an avid programmer, with over 14+ years of experience in various data science related areas that include data warehousing, Business Intelligence (BI), analytical tool development, ad-hoc analysis, predictive modeling, data science product developme...