Matplotlib(图表) Seaborn(热量图,时间序列,小提琴图) 3-算法库: 精简Scikit(机器学习:回归,分类...) 统计模型(数据探索,统计模型和统计测试) 课程1-Python for Data Science Jupyter笔记本实验室 课程2-使用Python进行数据分析 Jupyter笔记本实验室 课程3-使用Python进行数据可视化 Jupyter笔记本实验室点...
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In this comprehensive guide, we look at the most important Python libraries in data science and discuss how their specific features can boost your data science practice. Updated Jan 12, 2024 · 15 min read Contents Introduction Staple Python Libraries for Data Science Machine Learning Python Libra...
Cognitiveclass.ai: Python for Data Science Datacamp: Python for R Users Datacamp: Importing Data in Python (Part 1) Datacamp: Intermediate Python for Data Science Datacamp: Python Data Science Toolbox (Part 1) Datacamp: Python Data Science Toolbox (Part 2) Datacamp: Intro to Python for Financ...
data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT nptsne (🥉13 · ⭐ 33 · 💀) - nptsne is a numpy compatible python binary...
Numba 是一个用于 Python 的 JIT 编译器(numba.pydata.org/)。您可以通过使用 numba 并编写符合 Python 习惯的代码,通常获得类似于 C 或 Cython 的加速: from numba import jit @jit def add_numbers(N): a = 0 for i in range(N): a += i add_numbers(10) 使用autotime 激活后,您应该看到类似...
(), lr=0.01) # 训练模型 num_epochs = 100 for epoch in range(num_epochs): # 前向传播 y_pred = linear_model(x_data) # 计算损失 loss = criterion(y_pred, y_data) # 反向传播 optimizer.zero_grad() loss.backward() # 更新权重 optimizer.step() if (epoch+1) % 10 == 0: print(f...
The name of this suite of libraries stands for Natural Language Toolkit and, as the name implies, it used for common tasks of symbolic andstatisticalNatural Language Processing. NLTK was intended to facilitate teaching and research of NLP and the related fields (Linguistics, Cognitive Science Artifi...
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Keras is a high-level neural networks application programming interface(API) and is written in python. It is one of the most user-friendly libraries used for building neural networks and runs on top of Theano, Cognitive Toolkit, or TensorFlow. The main reason behind developing this library is ...