IBM ML/AI Certification Projects Repo - EDA, Supervised ML
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Updated
Jun 26, 2024 - Jupyter Notebook
IBM ML/AI Certification Projects Repo - EDA, Supervised ML
A Library for Minimax Risk Classifiers
My first personal Machine Learning project: a supervised multi-class classification model focused on the creation of credit score classification for the financial sector.
The official implementation for "SANGO".
flight delay prediction using XGboost classifier
Customer churn prediction using various supervised classification algorithms.
data science projects
Supervised cell type identification for scATAC-seq data
Applied Machine Learning projects includes: a supervised machine learning model to classify emails from the given dataset as spam and not-spam. 2.
Efficient Learning of Minimax Risk Classifiers in High Dimensions
Worked on Decision Trees, Random Forest,Gradient Boost Machines, XGBoost, lighgbm on Bank, boston, stat_oil, iris datasets
This notebook tested the performance of the following scikit-learn models: Logistic Regression, Multilayer Perception, Naive Bayes, KNN, and Random Forest Classifier in classifying whether a person has thyroid or not based on the dataset provided. Each model’s performance has been evaluated using the F1 Score. NOTE: This notebook was used for a …
This repo contains the files for building a basic autonomous driving framework
This dataset contains the sign and symptom data of newly diabetic or would-be diabetic patients. The data were collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh, and approved by a doctor.
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.
A Supervised machine learning based topic modelling approach for yelp's real and fake reviews categorisation problem
Most popular supervised Machine Learning algorithms from scratch with Scikit-learn implementation
In this assignment, I will be building a machine learning model that attempts to predict whether a loan from LendingClub will become high risk or not.
Uses Logistic Regression and various machine learning techniques to train and evaluate models with imbalanced classes applied to identify the creditworthiness of borrowers.
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