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Aug 7, 2019
recursive-feature-elimination
Here are 62 public repositories matching this topic...
Predicting survival of passengers for titanic dataset using RF and a NN
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Jan 2, 2020 - Jupyter Notebook
Forecast stocks using machine learning algorithms. This is the final project for Data Science 3580.
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May 14, 2022 - Python
Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.
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Dec 16, 2022 - Python
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May 8, 2020 - Jupyter Notebook
Fall 2020 - Computational Medicine - course project
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Nov 10, 2021 - Jupyter Notebook
A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts. They have contracted an automobile consulting company to understand the factors on which the pricing of cars depends. Specifically, they want to …
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Apr 18, 2020 - Jupyter Notebook
Understanding and predicting the factors leading to employees leaving and finding relations between them. Also finding the importance of a feature according to ML models.
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May 25, 2021 - Jupyter Notebook
This project was done in the 4th semester of Btech data science. Took an online dataset about cars. Understood, cleaned, visualized and prepared our data for building a regression model. Using Recursive feature elimination and Backward selection as a method of feature selection we built a final model. Then tested the assumptions that we made abo…
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Jun 14, 2021 - Jupyter Notebook
The research aims to harness machine learning for predicting cardiovascular diseases based on numerous risk factors, addressing the high fatality rates associated with cardiovascular conditions.
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Mar 29, 2024 - Jupyter Notebook
Linear Regression, how number of features affect outcome
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Aug 21, 2019 - Jupyter Notebook
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May 8, 2020 - Jupyter Notebook
Predict the attrition (Yes/No) of employees, identify factors significantly impacting it, and finally state recommendations on how to mitigate the attrition.
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Oct 13, 2023 - Jupyter Notebook
Logistic regression model build on lead score data to score leads on the basis of their probability of conversion.
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Jun 5, 2023 - Jupyter Notebook
I showcase that I have broad set of skills regarding machine learning algorithms since I use Logistic Regression, XGBoost and Neural Networks in this project. Especially that I have a good understanding regarding neural networks and the Keras library.
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Jan 28, 2022 - Jupyter Notebook
First project implementing Logistic Regression
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Jan 18, 2023 - Jupyter Notebook
The goal of this project is to develop a predictive model that accurately detects failures in the Air Pressure System (APS) of heavy Scania trucks. The APS is responsible for generating pressurized air used in various functions of the truck, such as braking and gear changes. By detecting failures in the APS system.
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Nov 4, 2023 - Jupyter Notebook
Delved into advanced techniques to enhance ML performance during the uOttawa 2023 ML course. This repository offers Python implementations of Naïve Bayes (NB) and K-Nearest Neighbor (KNN) classifiers on the MCS dataset.
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Jan 9, 2024 - Jupyter Notebook
Explored data using data visualisation and exploratory data analysis. Used Logistic Regression to create a basic prediction model. Improved model using recursive feature elimination.
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Apr 4, 2019 - Jupyter Notebook
Classification model that can predict whether a tumor is Benign or Malignant.
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Apr 2, 2021 - Jupyter Notebook
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