Repository created for programming and development in the Python language.
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Updated
Jul 17, 2024 - Python
Repository created for programming and development in the Python language.
The project utilizes the Online Retail Dataset, a transnational dataset capturing transactions from 01/12/2010 to 09/12/2011 for a UK-based non-store online retail company specializing in unique all-occasion gifts. The dataset includes transactions from both retail and wholesale customers.
This project aims to analyze sales data during the Diwali festival using Python. The analysis focuses on identifying key trends, customer purchasing behavior, and sales performance across different segments. By leveraging data visualization and statistical analysis, we uncover insights.
The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2
Machine learning project aimed at predicting new COVID-19 cases using historical COVID-19 and mobility data. The project involves data fetching, migration, preprocessing, exploratory data analysis (EDA), feature engineering, data splitting, model training, and evaluation.
In this project, we aim to predict whether a particular customer will switch to another telecom provider or not, a process referred to as churning and not churning in telecom terminology.
This project involves a case study of a real estate company with a dataset containing property prices in the Delhi region. The goal is to optimize the sale prices of properties based on important factors such as area, bedrooms, parking, etc.
Seaborn is a visualization library for Python that builds on matplotlib and pandas. It provides beautiful default styles and color palettes for different types of plots, such as histograms, distributions, regression, and matrix plots.
Data Visualisation using Matplotlib and Seaborn in Python
Student Exercise | EDA | Lending Club Case Study
PyVizNotebook is a collection of Matplotlib visualizations demonstrating a wide range of plot types and techniques for data visualization. Whether you're a beginner looking to learn or an experienced developer seeking inspiration, this repository offers a diverse set of examples to explore.
This program provides data loading, exploration, and analysis tools, including descriptive statistics, column categorization, target variable summaries, and correlation analysis. With error handling, it enables seamless exploration and insights extraction from datasets.
Data Visulaization practice codes from my DV Lab course. There are different libraries that i've used in these practices including pandas,matplotlib,seaborn and plotly e.t.c to visualize data.
Healthcare cost projection for fiscal year (FY) 2026 and 2027 based on historical healthcare expenses.
The project entails leveraging coinmarketcap.com API to collect real-time data on cryptocurrencies in India. Through data cleaning and visualization using pandas, numpy, and matplotlib, it aims to analyze market trends, identify top cryptocurrencies, and track their price fluctuations over time.
Breast Cancer Detection - This project tackles the crucial challenge of early breast cancer detection using machine learning techniques. Using Machine learnig algorithms, Support Vector Machine, Randon Forest.
Flight trends, cancellations, delays, and weather impacts through exploratory data analysis.
Final Project for the IBM Data Science Professional Certificate
Embarking on a vital linguistic preservation initiative, our project surveyed the diminishing popularity of rural languages across 20 states of India. Leveraging the power of Computer Science, we meticulously analyzed and visualized the data using Heatmap with Seaborn (sns) in Jupyter Notebook.
Script to graph input latency data
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