AnthonyEmmanuelO's repositories
NeumorphicUIKitDark
Dark Neumorphic UI Kit for Power Apps
PortFolio_Website
Complete Portfolio Website with Bootstrap - HTML/CSS In this project, we are going to learn and build how to create a complete portfolio website with bootstrap using HTML and CSS. We will understand everything from scratch.
DSN-Kowope
Second Place Solution to Data Science Nigeria AI bootcamp Qualification Hackathon
DSN_KOWOPE
Data Science Nigeria Artificial Intelligence bootcamp Qualification Hackathon 1st place Solution..
Predictive-and-Ensemble-Model-Projects
Keywords: Ensemble, Best model performance selection Pipeline, Loan Defaulters Classification, SVM, Adaboost, Decision Tree, CNN
Airlines-Customer-satisfaction
Classification with complete EDA, Data pre-processing and ensemble classification model.
Ensemble-models
This project contains ensemble model for loan defaulter classification problem
energy-output-profiling
Notebook files for classification and detection of anomalous trend in time series inverter data
Predicting_credit_card_default
Predicting Credit Card Default Using Various Classification Models and Ensemble Learning
ensemble-methods-notebooks
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2020)
Stacking-Ensemble-Machine-Learning
Stacking Machine Learning Models. Tunning; feature engineering, scaling, models combinations and parameters.
churn-in-telecoms-dataset
Customer Churn Analysis on Churn in Telecom's dataset ; classification , feature engineering, ensembling.
10-model-tuning-ensembling-first-n-automatically
Predicts survival probabilities through model tuning and ensembling. Just you need to input how many models you want to ensemble out of 10 classification models. In addition to the input opportunity, the differences of this script from the notebook are being more compact,fast and focusing on the result without much visualization,
ML_Supervised_Project
Supervised Learning, Ensemble Learning, Regression, Classification
Smartphone_Price_Classification_Project
Using Support Vector Classification, Random Forrest Classification, Gradient Boosting Classification, Xtreme Gradient Boosting Classification, Adpative Boositng Classification, Stacking Classification and Choose The Best Model Based on Accuracy
Lerato
A Retrieval based bot that responds to basic question about Zindi Africa- using cosine similarity between words entered by the user and the words in the corpus. We 'll define a function response which searches the user’s utterance for one or more known keywords and returns one of several possible responses. If it doesn’t find the input matching any of the keywords, it returns a response:” I am so sorry! I dont understand your words"
classification-2-layer-stacking
A 2-layer stacking ensemble for multiclass classification
Financial-Inclusion-in-Africa-Competition
This is my work for AI HACK qualification, my goal was to explore as many classification models as i can, i tried some feature engineering techniques and modified multiple featues. The models I used are KNN, Random Forest, Decision Tree, MLP, AdaBoost, XGBoost I used ROC/AUC to compare between models and accuracy aswell finally I chose the best models and applied Stacking to them which gave me the best result. I explored aswell other techniques such as PCA, LDA and SMOTE because the data was unbalanced, I also built a small NN using Keras. The data can be found on Zindi : https://zindi.africa/competitions/financial-inclusion-in-africa/data