Topic: "matplotlib-figures"
pgeedh/INTRO-TO-MACHINE-LEARNING-INTRODUCTION
This repository contains code for the CSE574 INTRO TO MACHINE LEARNING INTRODUCTION
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victorchendra02/Students-Performance-in-Exams
Dataset by Aman Chauhan from kaggle.com
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ZaikoXander/Intensivao-Python
Meu treinamento do Intensivão de Python
Language: Python - Size: 1010 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

juanbasora/Expense-tracker
Python expense tracker
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nerett/get
Scripts from General Engineering (GET 2022) labs
Language: Python - Size: 557 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Elliott-dev/Pymaceutical_ANOVA_Tukey
For this Project, I first applied an analysis of variance (ANOVA) model to the Pymaceutical dataset and then did a post-hoc analysis of the results by using Tukey Honest Significant Difference (HSD) to determine which drug treatments in the dataset significantly reduce tumor volume and metastasis. I then wrote a summary of my findings.
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Elliott-dev/Pymaceuticals-Continued-Making-Matplotlib-Magic
It has been a few days since you sent your boxplot to the senior scientist at Pymaceuticals and today they finally got back to you with feedback. They said your inital For this, I will leverage the same drug regimen data from last class and utilize subplots to create an advanced visualization that is packed with insightful information!
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Elliott-dev/Pymaceuticals
In this study, 249 mice identified with SCC tumor growth were treated through a variety of drug regimens. Over the course of 45 days, tumor development was observed and measured. The purpose of this study was to compare the performance of Pymaceuticals' drug of interest, Capomulin, with the other treatment regimens. You have been tasked by the senior scientist team to generate an initial drug regimen comparison and a summary of your findings.
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Elliott-dev/PROJECT-Investigating-Netflix-Movies-and-Guest-Stars-in-The-Office
Netflix Pandas Project (Investigation of Netflix Movies and Guest Stars in the Office)
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Elliott-dev/Maplotlib-Pymaceuticals-Inc.
Provided summary statistics table for the dataset’s measures of central tendency including variance, standard deviation, and SEM of the tumor volume for each drug regimen. Generated plots that show the number of total mice for each treatment regimen throughout the course of the study and the distribution of female or male mice. Calculated the final tumor volume of each mouse across four of the most promising treatment regimens: Capomulin, Ramicane, Infubinol, and Ceftamin. Generated a box and whisker plot of the final tumor volume for all four treatment regimens and highlighted any potential outliers. Selected a mouse that was treated with Capomulin and generated a line plot of tumor volume vs. time point for that mouse. Generated a scatter plot of mouse weight versus average tumor volume for the Capomulin treatment regimen. Calculated the correlation coefficient and linear regression model between mouse weight and average tumor volume for the Capomulin treatment. Put together all of the tables and figures needed for the technical report and provided top-level summary of the study results.
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an-white/Projects_Examples
These are an examples of my work in python if you want to work with me tell me
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lilisbeit/Subplots-in-Matplotlib
Code supporting blog post, An Introduction to Subplots in Matplotlib
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srikanth2102/Predict-the-house-prices-in-India
In this project we solve the challenge posted on Kaggle to predict the price of house. In this project we make of models like linear regression, gradient boosting, random forest and decision tree.
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prakHr/pyAlgebra-v
[PyPi Package] - performs integral and differentiable operations on string expressions using sympy
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ajanczewska/rysowanie_wykresow
Aplikacja generująca wykres na podstawie wzoru funkcji oraz parametrów podanych przez użytkownika.
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sachicorrea/7thChallengeMintic_StockProducts
A challenge to demonstrate skills related to get and process data for their analysis. Data-frames, filters, basic descriptive statistical analysis and charts are part of this repository
Language: Python - Size: 419 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Promeos/Visualization_Exercises
Exercises to develop Numpy, Pandas, and visualization skills for Data Science.
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RuthLD/State_Plant_Analysis
Using Python to determine the most common state plants for New York State. USDA, NRCS. 2021. The PLANTS Database (http://plants.usda.gov, 3 March 2021). National Plant Data Team, Greensboro, NC 27401-4901 USA.
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RuthLD/PyBer_Analysis
Use SciPy and NumPy to analyze rideshare data from January to early May of 2019 and use Matplotlib to create a compelling visualization.
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markbirds/Matplotlib-Notes
My notes in Matplotlib
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PeterSchuld/Udacity_DataAnalystNanodegree-InvestigateDataSet
Project No. 2 in the Udacity Data Analyst Nanodegree Program Winter 2019/2020. In this project, we will be provided a dataset reflecting data collected from an experiment. We’ll use statistical techniques to answer questions about the data and report your conclusions and recommendations in a report.
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SwaroopKhot/Control-Computer-with-Hand-Gestures-using-Arduino-and-Python
Arduino | Python | Matplotlib | Real-Time-plot | watch video: https://youtu.be/vsz1de6-kVA
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ilyanesteroff/2d_transformer
The web app where you can generate some 2D-transformation plots, by scaling, rotating and moving object😅
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yuliyavolkova99/PY_project_3sem
🎨SameColourPic - программа по поиску схожих изображений на основе цветовой палитры
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Mahapeth/PY_project_3sem Fork of yuliyavolkova99/PY_project_3sem
🎨SameColourPic - программа по поиску схожих изображений на основе цветовой палитры
Language: Python - Size: 14 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

IntelligentSolution-Dz/University-of-Liverpool-ion-switching
Data exploration using data visualization tools ana signal processing to Identify the number of channels open at each time point.
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ISAIAH-Git/MATPLOTLIB-COMPLETE-END-TO-END
Complete matplotlib
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AayushChaube/Website-Rating
Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

TheNudibranch/Optimize_stat_learning
Statistical learning models built from the ground up!
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felix11h/axis-arrowheads
Create abstract plots with nice looking arrowheads in matplotlib.
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apanesar11/matplotlib-flask-api
Make a post request to the API and get back a png of the graph.
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birozsolt/NumberPlotting
Language: Python - Size: 4.14 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

kcuric/sudoku
Sudoku (Generation/Solving/Graph representation) provides the functionalities of generating a solved Sudoku board and representing that solved Sudoku board in the form of a matrix or in a form of a graph.
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tdesfont/TensorFlow-DQN-CatMouseGame
Master MVA, ENS Cachan, France: Reinforcement Learning. Project implementation of Deep Reinforcement Learning in TensorFlow to plug in a cat and mouse game. (Python, TensorFlow)
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imneonizer/Pandas-Data-Analysis
Analyzing Unique Car Visitors, based on location / color / frequency, using Pandas and Matplotlib.
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omid-reza/EngineeringMathematicsFinalProject 📦
Engineering Mathematics Final project
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manashpratim/NIPS-Analysis
Exploratory Data Analysis of Conference on Neural Information Processing Systems (1987-2017)
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babinyurii/UFO-dataset-visualization
data visualization drill using a weird dataset from kaggle.com
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Srinath-V-S/911CallsProject
Data Analysis and Visualization is performed on Emergency - 911 calls. Dataset used in this project : https://www.kaggle.com/mchirico/montcoalert
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Dkreitzer/JupyterNotebook_Dashboard
Very first website ever created using images from Dkreitzer/Random_500-City_Weather_Analysis
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Dkreitzer/ClimateAnalysis_Flask_App
Climate Analysis of Hawaii Temperature and Precipitation. Exploration in Jupyter Notebook, and a Flask-API.
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Dkreitzer/News_Media_Sentiment_Analysis
Vader Sentiment Analysis of 5 News Media tweets
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Dkreitzer/Random_500-City_Weather_Analysis
Generate random coordinates, find closest cities, pull recent weather data, and visualize with matplotlib
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Dkreitzer/The_Power_Of_Plots__Pyber_Analysis
Use matplotlib and Jupyter Notebook to visualize data contained in 2 csv files
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pattyjula/bigdata-demo
This repository contain content on big data processing and analysis given at the "Data Batcave" on August 16, 2018.
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anupamtamrakar/Lynda-Image-recognition
Language: Python - Size: 8.12 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Xhiffer/Lama-projet-l2
this program use a list of fictional student grades and creat graph out of them with matplotlib all converted to one pdf named after eatch student respectively.
Language: Python - Size: 10.1 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

mngad/pythonPlotting
A collection of python scripts to plot graphs using matplotlib
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Chilipp/psyplot-conda
⛔️ Conda Installers for psyplot
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malvika/matplotlib-challenge
Using python, matplotlib, seaborn library in jupyter notebook to analyze data and create visualizations
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deepandas11/tempvis_timeseries
Data Visualization Assignment
Language: Python - Size: 261 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

nazaninsbr/Matplotlib-Examples
learning to work with Matplotlib (mostly based on the Documentation and Examples of the website itself)
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Dammonoit/Darwin
This Project is a DataAnlysis of Hacker-rank Developers Survey 2018 using Data-analytics open source python libraries like Pandas, Numpy, Matplotlib etc and modules like plotly, missigno etc using Datasets Provided Hacker-rank themselves.
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mattkearns/scientific-computing-libraries
This repository contains tutorial exercises for the following scientific computing libraries: NumPy, SciPy, Matplotlib, and Pandas. These exercises were completed using Jupyter notebooks for exhibitionary purposes.
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isidharthrai/Python---Data-Science
These Notebooks Illustrate Python with Data Science in an elaborated way.
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pranshudiwan/Titanic-survival-prediction-using-Machine-Learning-IPython-Notebooks-
I have tried to predict the survival of passengers on the Titanic using various techniques and machine learning algorithms. This is currently a on-going competition on Kaggle and I have got a best score of 0.83253 (top 2%) out of 11262 teams. I will be making modifications to improve the score.
Language: Jupyter Notebook - Size: 1020 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1

SakhriHoussem/charts-in-report
charts in pdf report using matploltlib library :bar_chart: :chart_with_upwards_trend: =>:page_facing_up:
Language: Python - Size: 98.6 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

Shuyib/mouse_gut_OTU
Vectorization and Unsupervised Learning of Mouse Operation Taxonomic Units to determine which species of bacteria form distinct groups in a dataset.
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isaac-cminor/CIA-World-Factbook-Analysis
Dataquest data scientist track project on SQL fundamentals Analyzing CIA Factbook Data using SQLite and Python.
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troj4n/Graphical-data-visualization-using-python
A tool that shows current captured data in the form of pie charts , bar graphs and line plots using matplotlib in python .
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ltfschoen/aind2-dl
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
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akshitac8/numpy
matplotlib and numpy basic
Language: Python - Size: 25.4 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

akjayant/Data-Analysis-Pre-processing-and-Regression
Basic excercises of NLP, Numpy, Pandas, Linear Regression
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gautamworah96/Delloite-AnalyticsChallengePy
Contains all the scripts used to analyze the csv file and derive insights.
Language: Python - Size: 9.94 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

akshitac8/scipy-2016-sklearn Fork of amueller/scipy-2016-sklearn
Scikit-learn tutorial at SciPy2016
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