796 skills found · Page 3 of 27
giacomomarchioro / PyEnergyDiagramsThis is a simple script to plot energy profile diagrams using Python and matplotlib.
eleanorlutz / AnimatedPythonPatternsAnimated GIF patterns made in Python Matplotlib.
sksalahuddin2828 / Pandas Numpy Matplotlib PlotlyExplore something new
HamsterHuey / EasyplotEasy Plot - A thin matplotlib wrapper for generating fast, easy and reusable plots in Python
kunyiwang / Colormap MATLABQuick transfer packages from Python matplotlib to MATLAB
catppuccin / Python🐍 Soothing pastel library for Python & Matplotlib
bedbad / JustpyplotPlot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
petroGG / Basic Well Log InterpretationBasic Well Log Interpretation with python, pandas, matplotlib
vMeijin / PySmithPlotMatplotlib extension for creating Smith charts with Python
CALFEM / Calfem PythonCALFEM for Python is the Python port of the CALFEM finite element toolkit. It also implements meshing function based on GMSH and triangle. Visualisation routines are implemented using visvis and matplotlib.
cigroup-ol / WindmlThe windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction
python-recsys / CrabCrab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (python, numpy, scipy, matplotlib)
jdoepfert / Roipoly.pySelect a polygonal region of interest (ROI) with python and matplotlib, similar to the roipoly.m function from MATLAB.
shreyasharma04 / HealthChatbot🤖 HealthCare ChatBot Major -1 (4th year - 7th semester) Health Care Chat-Bot is a Healthcare Domain Chatbot to simulate the predictions of a General Physician. ChatBot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. We have made a healthcare based chatbot. The three main areas where chatbots can be used are diagnostics, patient engagement outside medical facilities, and mental health. In our major we are working on diagnostic. 📃 Brief A chatbot is an artificially intelligent creature which can converse with humans. This could be text-based, or a spoken conversation. In our project we will be using Python as it is currently the most popular language for creating an AI chatbot. In the middle of AI chatbot, architecture is the Natural Language Processing (NLP) layer. This project aims to build an user-friendly healthcare chatbot which facilitates the job of a healthcare provider and helps improve their performance by interacting with users in a human-like way. Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as E-commerce customer service, Call centres, Internet gaming,etc. Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centres, presently utilize online Chatbots for human services on their sites. These bots connect with potential patients visiting the site, helping them discover specialists, booking their appointments, and getting them access to the correct treatment. In any case, the utilization of artificial intelligence in an industry where individuals’ lives could be in question, still starts misgivings in individuals. It brings up issues about whether the task mentioned above ought to be assigned to human staff. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It also helps to generate leads and automatically delivers the information of leads to sales. By asking the questions in series it helps patients by guiding what exactly he/she is looking for. 📜 Problem Statement During the pandemic, it is more important than ever to get your regular check-ups and to continue to take prescription medications. The healthier you are, the more likely you are to recover quickly from an illness. In this time patients or health care workers within their practice, providers are deferring elective and preventive visits, such as annual physicals. For some, it is not possible to consult online. In this case, to avoid false information, our project can be of help. 📇 Features Register Screen. Sign-in Screen. Generates database for user login system. Offers you a GUI Based Chatbot for patients for diagnosing. [A pragmatic Approach for Diagnosis] Reccomends an appropriate doctor to you for the following symptom. 📜 Modules Used Our program uses a number of python modules to work properly: tkinter os webbrowser numpy pandas matplotlib 📃 Algorithm We have used Decision tree for our health care based chat bot. Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems, but mostly it is preferred for solving Classification problems. It is a tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome.It usually mimic human thinking ability while making a decision, so it is easy to understand. :suspect: Project Members Anushka Bansal - 500067844 - R164218014 Shreya Sharma - 500068573 - R164218070 Silvi - 500069092 - R164218072 Ishika Agrawal - 500071154 - R164218097
tdhopper / Pythonplot.com📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib.
kawache / Python B Spline ExamplesExamples in Python about plotting and interpolating a B-spline curve and their comparison using Numpy, Scipy and Matplotlib.
Edubgr / MPU6050 MotionTrackingMovement data collection using MPU6050 and Raspberry Pi. And obtaining the position and velocity with Python and Matplotlib, with visualization and data processing.
wanjunshe / Python Tensorflow 人工智能Python全栈工程师 人工智能时代已经来临，再不学习就会被淘汰！ python考试，已经被列为国家计算机二级考试 python课程，已经被浙江的中学列为必修课内容之一 python课程，已经被山东的小学列为选修课课程之一 零基础？ 怕啥，君社教育来帮你！ Python人才到2020年，全球15%以上的企业会使用人工智能技术，人才缺口巨大，你就是下一个稀缺IT金领。 君社教育(微信：18924289261）为了满足人工智能对人才的需求，近期推出针对人工智能教育---人工智能全栈Python班，不同专业背景的学员即可掌握这项梦寐以求的高薪技能！ 如何学？9个阶段，每个阶段2周，共18周，2019年3月2号一期班，2019年9月8号二期班，一年两期 第1阶段 语言基础Python Python开发环境搭建，基础类型，控制结构，图形（TKinter），函数，类结构，线程 第2阶段 数据处理DataProcess 矩阵处理numpy，科学计算SCIPY，数据可视化Matplotlib，数据导入pandas 第3阶段 爬虫技术Spider 关键技术，前端基础，爬虫基础，实战爬虫，数据存储，动态爬虫，框架爬虫 第4阶段 机器学习APP TensorFlow认识感知，TensorFlow聚类分析 ，TensorFlow线性回归，TensorFlow逻辑回归，个性化推荐系统 第5阶段 图像分类CNN 构建模型，Alexnet，Vggnet，resnet，Inception 第6阶段 机器视觉CNN 发展现状，目标检测，Faster-R-CNN算法解析，Segnet，Deep Lab 第7阶段 NLP RNN NLP，Word2Vec，LSTM，BiLSTM，Sentence classification，Generating Text，ImageCaption，NMT 第8阶段 解决方案 金融理财与投资，智能制造图像检测，医疗图像辅助系统，娱乐智能，现代教育，智能客服 第9阶段 产品开发 衣来伸手系统，饭来张口系统 什么样的人，比较适合选择人工智能+Python? 刚毕业，未来迷茫 大学大学/高中刚毕业，迷茫群体， 看不到未来的方向，期待学一门 有前景的技术 跨专业转行 非计算机专业迫切要转行群体， 期待学一门靠谱、有前景、 易学的技术 无基础 逻辑思维能力强 逻辑思维能力很强， 想通过学一门技术来获得 工作能力 数学/统计学/物理专业 学过数学、大数据收集或分析、 统计学、物理学等， 是学这门课的合适人选 传统运维转开发 如果你之前从事的是运维工作 遇到瓶颈想转开发岗位， 那Python将帮助你成功转型 转型做Web全栈开发 如果你未来职业生涯致力于 做Web全栈开发人才， Python会带你成功转型 教学设备： 实验条件：学员自带笔记本电脑。 收费标准： 网络班，每个阶段收费100元。 实训班，每个阶段收费1000元。 联系方式： 电话：18924289261 万老师 上课地点： 广州校区：广州大学城信息枢纽楼一楼 中山校区：中山市职业技术学院继续教育学院 东莞校区：东莞市东城区莞樟路12号A座二楼（东华医院公交站） 培训发证： 参加大数据高级工程师认证考试合格者，颁发工信部高级大数据工程师证书。 君社教育(微信：18924289261）致力于人工智能职业培养，如果需要更进一步了解，请扫码咨询。 一个人的成功不在于起点，而在于转折点。一起来，更精彩。 扫描二维码，加入我们。君社教育，IT金领的摇篮。
liuyxpp / MpltexA python package for producing publication quality images using matplotlib.
ITGlobal / MatplotlibCSA tiny utility for utilizing Matplotlib Python charting library from C#.
