Basic excercises of NLP, Numpy, Pandas, Linear Regression
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Updated
May 6, 2017 - Jupyter Notebook
Basic excercises of NLP, Numpy, Pandas, Linear Regression
Geomapping
This project utilizes data from an online computer game, League of Legends, to analyze player statistics. With MatPlotLib, charts and/or plots were created.
Netflix Pandas Project (Investigation of Netflix Movies and Guest Stars in the Office)
Dataset by Aman Chauhan from kaggle.com
Make plotting physics easier with stylesheets and context manager helpers
Task-1 Completed as a DSBA Intern @ The Sparks Foundation
Generate random coordinates, find closest cities, pull recent weather data, and visualize with matplotlib
Web dashboard showcasing weather visualizations produced in the 'World Cities Weather' project
Exploratory Data Analysis of Conference on Neural Information Processing Systems (1987-2017)
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.
Simple Classification ML Algorithm
Homogeneous and Heterogeneous Implementations of a tridiagonal solver on Intel® Xeon® E-2176G with oneMKL getrs() routine
A Python program to create a time series visualizer of the page views on freeCodeCamp forum.
plotty is a Python-based tool designed to streamline the process of regression analysis for scientific papers. This software aims to automate and simplify regression.
In this Study, To answer the Questions on the given Dataset we have used pandas, matplotlib and tkinter for the GUI
using sklearn
Analysis of ride sharing data using MatPlotLib and Pandas
Analyzing Unique Car Visitors, based on location / color / frequency, using Pandas and Matplotlib.
Monochromatic colorscheme for matplotlib with opinionated sensible default
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