Colab notebook solutions of Data scientist competition conducted at Dyuksha

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

Interactive ML syllable counter.

Notebook to analyze Lending Club's loan data (2020)

Smart pricing tool for cars on craigslist

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

Predict Diabetes Progression: A linear regression model to predict diabetes progression using patient attributes. Collaborate to improve predictions. Jupyter Notebook implementation.

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.

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

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:/…