profit estimation of companies with linear regression
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Updated
Feb 6, 2021 - Jupyter Notebook
profit estimation of companies with linear regression
In this Project we build fingerprint matching system that leverages a Siamese network to achieve accurate and efficient Fingerprint identification. The system consists of three main stages: image preprocessing, feature extraction, and matching.
This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.
3 modelos de classificação para analisar churn de um empresa de telecom e ao final responder a pergunta: Qual modelo teve o melhor desempenho?
Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.
A simple example of random state in train test split using python
Prepare a classification model using Naive Bayes for salary data
Linear Regression Practise
Personality Recognition from text using nlp techniques
A Diabetics Prediction website
Run three different classification algorithms for explaining whether region's economies grew by more than 5% based on the data provided. Standard goodness measures for classification algorithms also included.
Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers
Predicting The Energy Output Of Wind Turbine Based On Weather Condition DEMO LINK : https://youtu.be/ICfu49Ud2HU
using sklearn
The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.
Predicting sales volume at various stores
Python ML Scripts
Goal is to predict the miles per gallon of the cars using different attributes
Objective: Address the classification problem behind predicting credit risk
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