Calculating Classification Accuracy, Precision and Recall Using K-Nearest-Neighbors Method

Implemented Multiple Linear Regression using Backward Elimination Method. This code will work for all dependencies of the form y=b0+b1x1+b2x2+b3x3....bnxn

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilitie

对汽车数据使用17种分类算法进行数据分析,对代码进行实践应用和内容翻译

some projects

Visualization of some analyzes made on stackoverflow.com data

SQL for datascience

Analyzing the spread of COVID-19 in India. Emphasized on the usage of data visualization and data preprocessing and drawing a final report based on the accuracy of the analysis.

Given clinical parameters about a patient can we predict wether or not they have heart disease?

This repository uses web scraping techniques on power bi, then uses the power query editor in Power BI to tidy up the data, which will then be visualized.

Homework for data analysis course at CodeClan. Homework was given for everyday except Thursdays (no day 4 repo).

Exploratory Data Analysis performed on the dataset 'Global Terrorism'

Introduction to Python

In this project, I will visualize time series data using a line chart, bar chart, and box plots. I will use Pandas, Matplotlib, and Seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help me understand the patterns in visits and ide…

Data analysis on the bike share data from three major U.S. cities using Python & Pandas

Scraping data tables from HTML files over the web using R, then I used ggplot package to visualize the data.