1、菜鸟教程 https://www.runoob.com/ 2、kaggle https://www.kaggle.com/ 3、W3school https://www.w3school.com.cn 4、Hackerrank https://www.hackerrank.com 5、Python 3 Module of the Week https://pymotw.com/3/ 6、Python
Python是机器学习和深度学习领域的首选编程语言。如果你还不熟悉Python,可以从Codecademy的Python教程开始学习。这个课程将带你了解Python的基础语法和编程概念。 Python教程链接:[Codecademy Python教程](https://www.codecademy.com/learn/learn-python-3) ### 1.4 机器学习基础算法 学习机器学习的基本算法是必不可少的。
Learn computer vision fundamentals with the famous MNIST data https://www.kaggle.com/c/digit-recognizer Installation Instructions: README_CUDA.md Submissions Score: 0.99657 | Rank: ??? /2500 | ./submissions/fastai-resnet18-u100.csv - fastai: resnet18 + fit_one_cycle(50, 5e-2) Score: ...
Continually updated data science Python notebooks: Spark, Hadoop MapReduce, HDFS, Kaggle, deep learning (TensorFlow, Theano, Caffe), scikit-learn, matplotlib, pandas, NumPy, SciPy, AWS, and various command lines. https://bit.ly/data-notes - tomzhang/dat
数据来源:https://www.kaggle.com/discdiver/deep-learning-framework-power-scores-2018 可以看到:TensorFlow、Keras和PyTorch这三种框架分别位于排行榜前三位,其他小众框架则影响力微弱,比如Theano虽然历史悠久、但实在是太老了,开发团队早已停止开发和维护了;MXNet虽然不错,亚马逊也在用,但相较于前三个确实小众了很多...
《Learn Python the Hard Way》——一本覆盖从基础到深入的 Python 概念的书。 The Python Tutorial ——Python 主页上的教程(docs.python.org/3/tutor)。 我要再次强调你只需要花尽可能少的时间学习基本语法。你越快开始项目,你就学得越快。之后你遇到障碍的时候可以随时回头看语法。这个阶段你只应该花几周时...
1.了解Kaggle:注册账号,浏览 Kaggle,熟悉竞赛类型。 2.基础统计知识:学习描述性统计、概率分布、假设检验。 3. 编程语言:选择Python或R,掌握基本语法和数据结构。 4. 数据清洗与 EDA:使用 Pandas、Numpy、Matplotlib、Seaborn。 5.机器学习基础:理解监督学习、无监督学习、强化学习。
Learning Google's Deep Learning Nanodegree Google/Kaggle Machine Learning NanodegreeSelf-Driving Car EngineerNanodegree Metis Online Course ($99 for 2 months) Resources: Books PythonMachine Learning Data Science from Scratch: First Principles with Python Introduction to Machine Learning ...
Kaggle. State of Data Science and Machine Learning 2021. Available online: https://www.kaggle.com/kaggle-survey-2021 (accessed on 26 November 2022). Nkurikiyeyezu, K.; Yokokubo, A.; Lopez, G. Effect of Person-Specific Biometrics in Improving Generic Stress Predictive Models. Sensors Mater....
Kaggle网址:Find Open Datasets and Machine Learning Projects | Kaggle UCI数据集网址:UCI Machine Learning Repository Sklearn网址:scikit-learn: Machine Learning in Python — scikit-learn 1.0.2 文档 3.1 Sklearn工具及数据集 Sklearn全名为Scikit-learn,它是python语言的机器学习工具,其包内具有许多知名的机器...