junaiddali / data-science

This repo contains organized code related to Data Science.

Data Science Repository

Welcome to the Data Science repository! This repository contains organized code related to Data Science:

Topics Covered

Exploratory Data Analysis (EDA) in pandas

Explore the fundamentals of Exploratory Data Analysis using pandas. Gain insights into your datasets, understand the structure, and identify patterns to inform further analysis.

Data Cleaning in pandas

Learn how to clean and preprocess your datasets using pandas. Handle missing values, remove duplicates, and ensure data integrity to prepare it for downstream analysis.

Creating Visualizations using pandas

Discover the power of data visualization with pandas. Create informative charts, graphs, and plots to visually represent your data, aiding in a better understanding of patterns and trends.

Exploratory Data Analysis (EDA) using Pandas Profiling

Exploratory Data Analysis (EDA) is a crucial step in understanding and preparing your dataset for further analysis. The pandas_profiling library simplifies this process by automating the generation of detailed EDA reports.

K-means Clustering

K-means clustering is a popular unsupervised machine learning algorithm used for grouping data points into clusters based on their similarity. There are example of customer segmentation and image segmentation in this repository.