EDA on House Prices Predictions

House price prediction using regression with data preprocessing. Evaluated with RMSE, RSQ. Thanks, Prof. Yegin Genc !

EDA on Udemy Courses

Exploratory Data Analysis on Udemy courses data. EDA, RMSE, RSQ, GitHub link. Thanks Prof. Yegin Genc!

Feature Engineering on Employee Dataset

Enhancing salary prediction with feature engineering. RMSE, RSQ, GitHub link. Thanks, Prof. Yegin Genc!

Twitter Sentiment Analysis using NLP techniques.

Twitter Sentiment Analysis: NLP, text preprocessing, models, TF-IDF, saving results for future use.

Netflix recommendation system

Creating a Netflix recommendation system for personalized content suggestions based on user data, from collection to deployment.

Linear Regression Models and Improving Predictions and lastly applying Additive Model on Kickstarter Dataset (Crowd funding Dataset).

Improving Kickstarter dataset predictions using Linear Regression and Additive Models. Feature engineering, metrics, RMSE, RSQ, MAPE, MAE. Prof. Yegin Genc's guidance appreciated. For details, visit my GitHub: https://lnkd.in/eFWXDb6Z. #DataScience

Customers Churn prediction for Bank

Predicting customer churn at Very Nice Bank Inc. using Tableau, RapidMiner, R, and Python. Automated data mining model for EDA and predictions. #bank #churn

Time Series (ARIMA) Model on Cryto Currencies

Project: EDA and Time Series (ARIMA) on Cryptocurrencies. Data extraction, cleaning, ARIMA modeling, and 7-day price forecasts. #Crypto #ARIMA

Machine Learning Model to Predict Employees Churn rate.

Project: Employee retention prediction using K-nearest neighbor (KNN) algorithm. Steps include data exploration, preprocessing, model building, evaluation, parameter tuning, and achieving 92% accuracy. Useful for employee churn analysis.

AMP--Parkinson-s-Disease-Progression-Prediction. (Kaggle)

Predict Parkinson's disease course using protein abundance data. Kaggle competition, data exploration, regression modeling, UPDRS score predictions. Bronze medal achievement. Impactful healthcare data science. Kaggle: https://lnkd.in/er-rc7Du

Airlines_Delay_Prediction_System

Airlines Delay Prediction 2006: Enhanced with data analysis and Logistic Regression model. Achieved 83.6% accuracy. Data-driven aviation innovation. Thanks, Prof. Namchul Shin. ✈️

House-Prices---Advanced-Regression-Techniques (Kaggle Competition)

Kaggle competition: Predict house prices using data from Ames, Iowa. Data preprocessing, Linear Regression model, RMSE evaluation. Best Score: 2.17079.

Heart-Stroke-Analysis

Stroke analysis involves evaluating the symptoms, medical history, and imaging tests of a patient who has experienced a stroke, in order to determine the type, cause, and appropriate treatment of the stroke.

Google Books Recommendation System.

Book Genie utilizes Google Books API, TF-IDF vectorization, and cosine similarity for personalized book recommendations. It fetches book data, preprocesses text, computes TF-IDF vectors, and calculates similarity.

Customer Sales Analysis Dashboard Tableau

Customer Sales Analysis Dashboard using Tableau "Customer Sales Analysis Dashboard using Tableau" !