Analytics & Machine Learning R Sidekick

The program of subject "Mathematics for Data Science", course PGDDSAI at COEP. Conducted by Tushar B. Kute. May-June 2024.

A small collection of lesser-known statistical measures

Easy and thorough description of datasets

Here I'm sharing my projects in data analysis.

Leveraged Python to analyze Airbnb listings in Paris to explore pricing dynamics and host trends over time and understand market fluctuations and regulatory impacts on the hospitality sector in a major metropolitan area

The BAND Program is a course that helps to learn how to analyze and visualize data using Excel and Tableau to help the organization in solving their problems.

A Python library for calculating a large variety of metrics from text

Examined 506 Boston houses dataset. Achieved 69% accuracy rate in forecasting Boston houses price rate by developing and deploying machine learning model. Identified and comprehended key factors influencing houses pricing rate through thorough analysis. Used Excel for build regression analysis model analysis.

Life Expectancy Analysis (WHO)

Um repositório em Python para armazenar códigos de exercícios da disciplina Análise de Dados e Big Data. Também, está presente o trabalho da disciplina, feito com o Jupyter Notebook.

In this project my opportunity to dive deep into the world of data analysis and gain practical experience with the tools and techniques that I have learned overall been learning.

This project analyzes a Portuguese bank's term deposit marketing campaigns, uncovering key factors and client profiles to optimize marketing strategies and enhance the bank's lending pool and revenues.

Collection of practical codes for Savitribai Phule Pune University's Data Science and Big Data Analytics Laboratory (310256).

Flatiron School Data Science Bootcamp Phase 1 Project

rifttable: Results Tables to Bridge the Rift Between Epidemiologists and Their Data

Data Analysis Practice Repository

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

This repository contains exercises on statistical analysis and probability calculations. Each question is answered with detailed explanations, covering topics like data types, probability distributions, expected values, descriptive statistics, skewness, kurtosis, confidence intervals, & hypothesis test

A tool to get a custom report on your Disney comics collection from the Inducks.