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.

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.

Script to graph input latency data

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

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

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

Analyzing the customer dataset and developing a machine learning solution to segment customers into meaningful groups based on their purchasing behavior, demographics, and interaction with past marketing campaigns.

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.

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

Learned techniques and tools for Knowledge Discovery and Data Mining: R, RStudio, Classification Models

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.

The project involves a detailed analysis of Kenyan YouTube channels using the YouTube API to collect data on various genres. It examines metrics like total views, video uploads, and subscriber counts, culminating in the creation of visualizations and an interactive dashboard for an enhanced understanding of the findings.

Pokemon Exploratory Data Analysis

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.

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

Here I analysed data and made pipeline out of it making model making/training/testing/selecting and hyperparameters selecting more user friendly and visualised, like an application. I have worked for this project ~2 weeks.

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.