Colab notebook solutions of Data scientist competition conducted at Dyuksha
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Updated
Feb 18, 2020 - Jupyter Notebook
Colab notebook solutions of Data scientist competition conducted at Dyuksha
Predicting Valorant game winners using machine learning.
Notes on Biostatistics. cpg and codes . this is a biostatistics book
Notebooks for studying some machine learning models
Various Jupyter Notebooks for a Kaggle Competition
Notebook to analyze Lending Club's loan data (2020)
Interactive ML syllable counter.
This is jupyter notebook for House Price Prediction advanced problem in Kaggle
This repository consists of machine learning notebooks and pre-requisites for model-building.
This is a machine learning project for predicting employee Attrition also known as employees Chun for predicting the employees who will leave and stays with a company
This repository contains detailed notes and annotations regarding the python notebooks in the Machine Learning A-Z Udemy Course.
This notebook utilizes historical data from taxi trips in New York to train a model that predicts the customers' tip amount.
In this notebook, I'm using this dataset called 'flight-price-prediction', which contains the traveller information.In this notebook, I'm trying to run a dummy variable regression model at first, and after that, I'm trying to build a supervised ML Model with higher accuracy of predation.
In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.
This repo has a notebook that I worked on for making a fraud detection model. The dataset was Highly imbalanced, so i used random under sampling to balance the data.
Obese-tree is a GitHub repository showcasing the application of a Support Vector Machine (SVM) model to estimate obesity levels based on eating habits and physical condition. Explore the code, data, and Jupyter notebooks to learn how SVM can be used for predictive modeling in the context of health and wellness.
In the hotel industry, cancellations represent a revenue management challenge, as hotels find themselves at risk of having empty rooms when a customer cancels a reservation, in addition to the cost of honoring existing reservations. The aim of this notebook is to develop a predictive model to reduce the cancellation rate from 42% to 20%.
Airbnb is an online marketplace for arranging or offering lodging, primarily homestays, or tourism experiences since 2008. NYC is the most populous city in the United States and also one of the most popular tourism and business place in the world. Airbnb NYC 2019 data contains listing activity and metrics. The dataset has been taken from https:/…
Smart pricing tool for cars on craigslist
Predict Diabetes Progression: A linear regression model to predict diabetes progression using patient attributes. Collaborate to improve predictions. Jupyter Notebook implementation.
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