chinyemba

Angola-Housing-Wellfare-Logistic-Regression

ANN-to-solve-Customer-Churning-Problem

Customer-Churn-with-XGBOOST-and-SMOTE

The model uses banking customer data to predict churning using XGBOOST and SMOTE to balance the unbalanced predictor variable classes.

Flight-Delays-Clustering-with-KMeans

This is a clustering task using Kmeans. The dataset is about airlines delays. Two variables we are looking at here are Late Aircract Delay and Airtime (time it will take for the entire flight to its destination).

K-Nearest-Neighbor-Breast-Cancer

KNN on the Breast Cancer dataset

Logistic-Regression-GaussianNB-KNN

This is an implementation of three models: Logistic Regression, GaussianNB, and KNN Classifier using sklearn libraries to compare the results of the models' performance.

MNIST-Classification-AND-Housing-Sales-Forecasting

Tnis is where I store all the projects that I feel I can share with the public.

NLP-Data-Preprocessing

Pneumonia-Chest-X-Ray-Image-Classification

This is the project to build a model that will learn from the normal x-ray images, as well as those with pneumonia effections. The idea is to predict, given an X-Ray, if the patient has pneumonia or not. This is to reduce the number of misdiagnoses given that this is the most misdiagnosed medical condition.

Safety-Incidents-Recommender-System

This is a recommender system that indentifies incidences that are being reported and puts those which are similar together for easy analysis. This is an NLP problem that was solved using Consine Similarity and TF-IDF methods.

chinyemba/Customer-Churn-with-XGBOOST-and-SMOTE

The model uses banking customer data to predict churning using XGBOOST and SMOTE to balance the unbalanced predictor variable classes.

chinyemba/Flight-Delays-Clustering-with-KMeans

This is a clustering task using Kmeans. The dataset is about airlines delays. Two variables we are looking at here are Late Aircract Delay and Airtime (time it will take for the entire flight to its destination).

chinyemba/Angola-Housing-Wellfare-Logistic-Regression

chinyemba/ANN-to-solve-Customer-Churning-Problem

chinyemba/K-Nearest-Neighbor-Breast-Cancer

KNN on the Breast Cancer dataset

chinyemba/Logistic-Regression-GaussianNB-KNN

This is an implementation of three models: Logistic Regression, GaussianNB, and KNN Classifier using sklearn libraries to compare the results of the models' performance.

chinyemba/MNIST-Classification-AND-Housing-Sales-Forecasting

Tnis is where I store all the projects that I feel I can share with the public.

chinyemba/NLP-Data-Preprocessing

chinyemba/Pneumonia-Chest-X-Ray-Image-Classification

This is the project to build a model that will learn from the normal x-ray images, as well as those with pneumonia effections. The idea is to predict, given an X-Ray, if the patient has pneumonia or not. This is to reduce the number of misdiagnoses given that this is the most misdiagnosed medical condition.

chinyemba/Safety-Incidents-Recommender-System

This is a recommender system that indentifies incidences that are being reported and puts those which are similar together for easy analysis. This is an NLP problem that was solved using Consine Similarity and TF-IDF methods.

chinyemba/Sales-Forecasting-using-Facebook-Prophet-ARIMA

chinyemba/Sentiment-Analysis-using-Convolutional-Neural-Network

chinyemba/Time-Series-models-with-Rainfall-Data

There are some time series models with rainfall data. I have used ARIMA, SARIMA methods to complete this project.

chinyemba/Topic-Modelling