This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

Solving Tableau Prep challenge 2023 Week 4 using SQL/Snowflake

Solving Tableau Prep challenge 2023 Week 2 using SQL/Snowflake

Solving Tableau Prep challenge 2023 Week 3 using SQL/Snowflake

exercise meant as a way to practice SQL skills

Data Processing for Turkey İş Bankası ML Challenge #5 Competition.

Data Quality Assessment , Data Insights and Presentation

A machine learning based application to automate health underwriting in small-scale health insurance companies.

The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.

Wykorzystując rstudio oraz zestawy dane ze strony https://www.gapminder.org/data/ badam tematykę dyskrminacjii kobiet na poszczególnych kontynentach i wyciągam odpowiednie wnioski

A data analytics case study that includes R to clean, analyze and process the data, Tableau to create visualizations and Google Slides in creating a presentation

Using three supervised learning models for predicting whether a person is a potential donor for a charity organization and performing feature importance analysis to determine the most important features that impacts someone's probability of being a donor.

Cyclistic

Python statistical data analysis project on stored preprocessed data, data manipulation and preparation

Customer satisfaction study (data preparation, hypothesis, ab tests)

This repository focuses on building several Classification Machine Learning algorithms from scratch following the standard approach of using Data Exploration/Data Preparation techniques. Several algorithms (Logistic, XGBoost, KNN, SVC, Naive Bayes) were trained and used to predict the unseen data. All the algorithms were built as part of Analyti…

This repository contains the course fulfillment assignments for CSP/MATH 571 course at Illinois Tech (Fall-19).