Helping a friend to perform a statistical analysis for his bachelor degree thesis in Economics
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Updated
Aug 20, 2024 - HTML
Helping a friend to perform a statistical analysis for his bachelor degree thesis in Economics
Analyze Wine Reviews Data and find the insights by using python libraries
Exploratory Data Analysis of the mpg dataset is examining and understanding the characteristics of the data to uncover patterns and relationships within the dataset.
An exploratory analysis on various exercises. This analysis explores factors such as Difficulty Level, Target Muscle Group, Primary Equipment, Posture, and Body Region. for helping the development of Home Workout Application
Beginner Data Analysis and Power BI Dashboarding with Indian Startup Dataset (2018-2021)
This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status
Data Cleaning and Analysis - A part of Assessment 2 -GD604 Data Collection and Analysis New Zealand School of Education College (NZSE)
Workforce status analysis
Python script to automatically clean temporary files
My portfolio website
Different Apps Rating, Reviews, Size, Installs., Type, Price, Content Rating,, Genre's analysis.
Analysis and visualization of different insights
Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi
Analyze Diwali Sales data using Pandas, NumPy, Matplotlib, and Seaborn Libraries to Improve customer experience and also sales.
Executing machine learning algorithms on penguins dataset.
Ongoing Project: "Transplant wait time prediction" IPBA, IIM Indore.
An application to correct a GPS trace using machine learning techniques. To preview it, a small web interface, named GPSClean Web, is available
This repo has extensive work I have done on Pandas and NumPy Modules during the advanced programming Module
Analysis of dataset of a Delivery Center located in Brazil. Transformation, visualization and regression of orders, drivers, payments, stores variables.
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