Progetto di Intelligenza artificiale sugli alberi di decisione con valori mancanti.
A company invest lot on employee to train them and make them ready for next generation business. Once you invest in skill enhancement of an employee you need to use it for benefit of business. Employee may be agitated even if they are being paid well as human have aspiration and if aspiration is fulfilled then they perform to their maximum capab…
Machine Learning Algorithms implemented using Numpy and Scipy
Identify hate speech (racist or sexist tweets) in Twitter with NLTK
Data is a Drag: Exploring Classical Machine Learning Algorithms on Small and Imbalanced Datasets
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
Machine Learning App in R for predicting whether a newly released movie will be a hit or a flop. Practically useful for streaming services and cinemas.
An activity recognizer using a neural network implemented from scratch
na podstawie kursu "Matrix - poznaj reguły gry", stworzonego przez DataWorkshop
In this project we will work with housing data for the city of Ames, Iowa, United States from 2006 to 2010. You can read more about why the data was collected here (https://doi.org/10.1080/10691898.2011.11889627). You can also read about the different columns in the data here (https://www.tandfonline.com/doi/abs/10.1080/10691898.2011.11889627).
This repository contains a Machine Learning model that predicts the comprehensive strength of concrete
A simple implementation for K nearest neighbor algorithm with k-fold cross-validation.
Build a model using Linear Regression for Banglore Home Prices dataset, then write a python flask server that uses the saved model to serve http requests, then deploy the app to the Cloud(AWS EC2)
As a Data Scientist at Zyfra Company, I developed a predictive model to estimate gold extractable from ore. Using data on extraction and purification, I trained the model to enhance the efficiency of the production process.
Used survey data with personality traits to predict cannabis consumption.
This repo contains exercises for advanced topics like Cross Validation
Numerical Methods: "Handwritten Digit Recognition" Group Project - 2nd Semester 2021 - Computer Science, UBA
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