forex-predictive-analytics

Predict NYC taxi travel times (Kaggle competition)

My exercises in the machine learning course

Proyek akhir recommendation system untuk membangun model machine learning yang dapat memberi top-N anime rekomendasi

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

In this project, I intend to implement k Nearest Neighbours from scratch without using any high-level libraries

Machine Learning Pemula Dicoding

This project addresses problem of early detection of Parkinson disease using Machine learning techniques

Powering the Future in a Sustainable way: Analysis and Forecasting of Lithium exports for Australia and Chile using Time series Analysis and Business Market Models

In this project we will practice some machine learning workflow to predict a car's market price using its attributes.

A repo containing a few exploratory notebooks for statistical (ARIMA) and supervised ML (random forest, KNN) approaches to time series analysis of monthly retail sales (sourced from St. Louis Fed). Notebooks also explore the use of MLFlow for experiment tracking, model registration, and deployment/inference.