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Jul 12, 2018 - Jupyter Notebook
minmaxscaling
Here are 24 public repositories matching this topic...
Artificial Neural Network using Keras in python to identify customers who are likely to churn.
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Aug 27, 2019 - Jupyter Notebook
Created machine learning models capable of classifying candidate exoplanets from a raw dataset.
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Jan 29, 2020 - Jupyter Notebook
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Apr 26, 2020 - Jupyter Notebook
This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.
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Aug 4, 2020 - Python
Exploratory Data Analysis for HR dataset
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Aug 12, 2020 - Jupyter Notebook
Build a machine learning model to predict if a credit card application will get approved.
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Nov 21, 2020 - Jupyter Notebook
Aircraft Engine Run-to-Failure Simulation
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Feb 27, 2021 - Jupyter Notebook
Final Cybersecurity ML project of Marc Mestre and Yana Veitsman for Data Mining and Machine Learning course at University of Valencia, Spring 2021
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May 22, 2021 - Python
Telecommunication Company Churn Project
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Jun 9, 2021 - Jupyter Notebook
Predictive model that tells important factors(or features) affecting the demand for shared bikes
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Sep 13, 2021 - Jupyter Notebook
Cloud image generation with Python and OpneCV
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Sep 14, 2021 - Jupyter Notebook
In this project we will apply Recurrent Neural Network (LSTM) which is best suited for time-series and sequential problem, we will be creating a LSTM model, train it on data and make predictions to check its performance.
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Oct 10, 2021 - Jupyter Notebook
Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.
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May 7, 2022 - R
This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset
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Jul 2, 2022 - Jupyter Notebook
This project is based on a classification algorithm i.e. Naive Bayes which is run on a mobile dataset consisting of 2000 rows and 15 columns. It is a multi-class problem where mobile phones are classified in accordance with their price range. There are four classes of price ranging from 0 to 3, 0 indicating cheaper mobiles phones and 3 represent…
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Jul 5, 2022 - Jupyter Notebook
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
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Sep 20, 2022 - Jupyter Notebook
Time Series Model
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May 2, 2023 - Jupyter Notebook
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Jun 8, 2023 - Jupyter Notebook
Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.
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Jul 7, 2023 - Jupyter Notebook
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