working with SAS

DMV data analyzed with SAS in jupyter lab

Churn Prediction- Telcom Customer Churn

using python , Xgboost and RandomForest for Classification model

Successful Loans Prediction - P2P-Lending-Bondora

using python to build a voting ( XGBoost + CatBoost) model for classification

NLP for classification

Using NLP (TF/IDF , LSTM recurrent neural network) to classify Udemy courses

Data Exploration - NBA Bubble 2020

Analysis and visualizations using pyhton packages (Pandas, Seaborn, Matplotlib)

Tel-Aviv Apartment Prices Prediciton With ML

using python, web-scraping and machine learning (Linear Regression and KNN models combined)

R and Python together : Finding Outliers

Find outliers using PCA (in python) and isolation forest (in R) +ggplot to visualize the outliers

Recommender System- BGG- Board Games

using python and pyTorch for Matrix factorization (neural network based model)