Involves all my kaggle competitions + Some ML applications

Explore the Kaggle Codes Repository for concise and powerful code snippets covering the essentials of data science and machine learning. From Kaggle competitions to real-world projects, discover insights into exploratory data analysis, machine learning models, feature engineering, and data science mathematics.

快速上手Ai理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

On-spot training to enhance the performance of traditional machine learning algorithms, applied to the prediction of breast cancer malignity from ultrasound images

This repository contains a notebook of the competitions I participated in on kaggle

The goal of this project is to predict the age of abalone using various physical measurements. The dataset used for this task is the Abalone dataset from Kaggle. The age of abalone is determined by the number of rings, which is the dependent variable in this study.

Monkey Species Image dataset for fine-grain classification using a convolutional neural network

This is a Kaggle competition, we use time series forecasting to forecast store sales on data from Corporación Favorita, a large Ecuadorian based grocery retailer. The evaluation metric is the Normalized Weighted Root Mean Squared Logarithmic Error (NWRMSLE).

Bunch of notebooks collection from Kaggle competitions.

The goal of this competition is to use various factors to predict obesity risk in individuals, which is related to cardiovascular disease. Good luck!

Gambling Odds To Outcome probabilities Conversion (goto_conversion)

This repository contains the source code for the Cab Fare Prediction Web Application. The application utilizes machine learning algorithms to predict cab fares based on various factors such as pickup location, drop location, time, date, no. of passengers etc.

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

Solves a kaggle problem of State Farm Distracted Driver Detection

This repository contains all the projects that I have made.

Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation

KaggleComp_UW_STAT441

Repository containing notebooks for Kaggle competitions I have participated in.

Our machine learning project focuses on building and evaluating predictive models for cab fare prediction. We perform extensive data processing, cleaning, and feature extraction to prepare the dataset for model training. This project aims to predict cab fares accurately based on various input parameters such as location, no. of passengers and time.

Neste repositório, você encontrará projetos de ciência de dados que utilizam conjuntos de dados do Kaggle para análise exploratória de dados, classificação, regressão e outras técnicas. Os projetos estão escritos na linguagem de programação Python.