Data Science with Python: Machine Learning This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including ...
Data Science and Machine Learning with Python - Hands On!Frank Kane
Learn Data Science Skills with: Python, Pandas, NumPy, Matplotlib, Seaborn, Machine Learning, Data Prep, and EDA 评分:4.7,满分 5 分4.7(4 个评分) 37 个学生 创建者Bluelime Learning Solutions 上次更新时间:7/2024 英语 英语[自动] 您将会学到 ...
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Feature Engineering Using Python Learn essential techniques in feature engineering using Python to enhance machine learning models and data analysis. COURSEPython for Data Science 06 lessons | 01 hour Data Visualization Using Python Unleash the power of data visualization with Python, mastering techniques...
Learn data science in Python, from data manipulation to machine learning, and gain the skills needed for the Data Scientist in Python certification! 26hrs9 courses Certification available Data Scientist Learn data science with R, from data manipulation to machine learning, and gain the skills needed...
Comprehensivelearning path – Data Science in Python 深度学习路径-用python进行数据学习 Journey from a Pythonnoob(新手)to a Kaggler on Python So, you want to become a data scientist or may be you are already one and want toexpand(扩张)your toolrepository(贮藏室). You have landed at the ri...
From:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=1 Your First NumPy Array # Create list baseball baseball = [180, 215, 210, 210, 188, 176, 209, 200] # Import the numpy package as np ...
A warm welcome to the Data Science, Artificial Intelligence, and Machine Learning with Python course by Uplatz.Data ScienceData Science is an interdisciplinary field focused on extracting knowledge and insights from structured and unstructured data. It involves various techniques from statistics, computer...
(4) Bayesian Statistics with Naïve Bayes (5) Ensemble Learning with Random Forest (6) Building a Neural Network 6. Getting Started with Natural Language Processing Introduction toMachine Learning (1) Data Science Languages: Python, R, SQL, JavaScript (D3.js) ...