Allstate Kaggle Competition ML Capstone Project

My contributions in Kaggle, mostly in a notebook format. Just for fun.

Data & Scripts for the Memorial Sloan Kettering Cancer Center's (MSKCC) request for a machine learning algorithm that, using annotated information on genomic variants, automatically classifies genetic variations as either neutral or cancerous.

Sales forecast model with Machine Learning pipeline, Data Mining and Text Mining course at Politecnico di Milano - CS 583 at University of Illinois at Chicago - in collaboration with Business Integration Partners (Bip)

I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook.…

In this notebook I show you an analysis of taxis behavior in September, 2015 NY. The idea of this work is to find and show you insights as well as some visualizations to understand in a better way the analysis.

预测rossmann1115家商店未来的销售额

A notebook repository for tracking learning machine learning notebook.

Kaggle kernels and the respective implementations of ML procedures.

Notebooks exploring strengths and weaknesses of GBM based classifiers

JupyterLab Notebook for Mesosphere DC/OS

Notebooks for Kaggle's CareerCon 2019 Competition

This repo contains notebook with multiple models built for regression.

IEEE-CIS Fraud Detection Kaggle Competition notebooks

Machine learning tests and exercises

The University of California, San Diego, course DSE230x "Big Data Analytics Using Spark" (Summer 2019): Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform. Part 4 of the »Data Science« MicroMasters® Program on edX. Instructor: Yoav Freund, Professor of CS and Engineering, University of California San D…

This model is my first attempt at machine learning. In the notebook I built upon what is taught in the Kaggle micro-course listed above and tweaked parameters, functions and exploratory analysis in order to achieve better performance.

Different prediction algorithms that calculate the selling price of properties in Buenos Aires City. Languages and Technologies: Python, Pandas, Machine Learning Algorithms, Jupyter Notebook, Google Maps API.

Various Template Notebooks for Deploying ML models with Amazon Sagemaker

The notebook walks us through a typical workflow for solving data science competitions at sites like Kaggle. There are several excellent notebooks to study data science competition entries. However many will skip some of the explanation on how the solution is developed as these notebooks are developed by experts for experts. The objective of thi…