The project aims to investigate fluctuations in housing prices, identify key drivers of market dynamics, and develop predictive models to forecast future trends.

Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown

Descriptive And Inferential Data Analysis Using Python Projects

This project aims to analyze customer churn in the telecom industry using machine learning techniques. By leveraging Python and various data science libraries, we preprocess the data, perform exploratory data analysis (EDA), and build predictive models to identify factors contributing to customer churn.

This repository contains various Python projects

In this project, we aim to analyze hotel reviews to determine the underlying sentiment expressed by customers. Our goal is to differentiate between positive and negative reviews using Natural Language Processing (NLP) techniques and machine learning algorithms.

Predviđanje rezultata telemarketinga

Always know what to expect from your data.

Cleaning and preparing the data of black friday sales for model training. Techniques involve are EDA and Feature Engineering.

In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.

This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The project includes steps for data preprocessing, exploratory data analysis (EDA), model selection, training, hyperparameter tuning, and model interpretation

End-to-end EDA project on an online customer activity dataset from a multinational retail company. Includes ELT pipeline to extract data from AWS RDS, EDA with python and a full business report with insights and recommendations.

This repository is where I share and organize my data analyses, covering a range of topics from descriptive to predictive analytics, using mostly large, real-world datasets gathered from various sources.

This repository is a collection of code, documentation, and other resources that support the management and automation of a Data Science project.

Developer-first embedded analytics

Exploratory Data Analysis on Retail Sales Data in Python

This data analysis project is designed to assist an online sports clothing firm, selling only Adidas or Nike-branded products, with increasing its revenue by producing recommendations.

This data project examines all Brazilian e-commerce companies doing business on Olist, the largest department store in Brazil, by undertaking Order, Customer, Vendor and Payment-based analysis.