Classification data and using ANN model

Developed a machine learning model to predict Uber ride prices. Evaluated multiple regression models, including Linear Regression, Ridge, Lasso, ElasticNet, and Random Forest. Conducted comparative analysis to optimize model selection for accuracy and interpretability. Identified key pricing determinants such as distance and time-of-day effects

Business case study - Data Science and machine learning

Deep learning system to detect stop signs and traffic lights using Keras' image recognition capabilities

Ce mini-projet illustre comment utiliser Pandas pour charger, manipuler et analyser des données, ainsi que Matplotlib pour créer des visualisations pertinentes permettant de mieux comprendre les tendances et les motifs présents dans les ventes mensuelles d'une entreprise.

Perform EDA on Olympics data based countries, athletes, medals won, etc. and deployed on a website using Streamlit

Nhập Môn Phân Tích Dữ Liệu Và Học Sâu.