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.

This repository contains some of the selected data-science projects.

This is a practice Repository consisting of all the notebooks I have practiced to learn python for data science from basics to Advance.

python code for extracting data from csv file , using Matlab plot and seaborn Libraries

Script to graph input latency data

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.

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

Pokemon Exploratory Data Analysis

Machine Learning Project for segmentation of mall customers

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.

Conducted sentiment analysis and data visualization on YouTube comments using the TextBlob library, uncovering insights on audience engagement, emoji usage, and video performance metrics. Implemented linear regression models to explore correlations between views, likes, video titles, and audience engagement.

This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries

서울시 열린데이터광장 지하철 23년 9월 승하차 데이터

This Python based Exploratory Data Analysis (EDA) project, uncover patterns, trends, and valuable insights from sales data during the festive season of Diwali.

Realizar un estudio para la empresa farmacéutica BIOGENESYS para ayudar en su estrategia de expansión en Latinoamérica. Realicé un análisis exploratorio de datos sobre la incidencia de COVID-19 y otros factores relevantes, identificando tendencias y oportunidades mediante estadísticas, mediciones y visualizaciones.

This project offers a comprehensive analysis of the Indian startup ecosystem, focusing on key factors such as funding patterns, startup valuations, and regional distribution across India. Using tools like Python, pandas, and matplotli, the project uncovers crucial insights into sectoral dominance, investment trends, and geographical hotspots.

Data Visualisation using Matplotlib and Seaborn in Python

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.

911 Calls Capstone Project - Analysing the frequency of emergency 911 calls. This project is developed on a Jupyter notebook using Python with Numpy, Pandas data analysis libraries along with Matplotlib and seaborn data visualization libraries.