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.

Machine Learning Pemula Dicoding

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

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

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

A Whole Project for Belajar Penerapan Machine Learning untuk Android Submission in Dicoding

This project aims to analyze and forecast the total funding amounts of startups using various regression and time series modeling techniques. Initially, we preprocess the dataset, which includes features such as funding amounts, company size, and number of funding rounds. The data is then scaled and split into training and testing sets.