Ali Akram's repositories
Credit-Fraud-Detection
Credit fraud detection in Python using a Jupyter Notebook , using three classification models (Random Forest, Gaussian Naive Bayes, Logistic Regression) from the sklearn library, and judging the performance based on accuracy, precision, recall and f1 score
Lending-Club-Loans
Using TensorFlow to create an ANN model to predict whether people would charge off or pay back their loans.
Titanic-survival-classification
This dataset is from the Kaggle competition, trying to predict the people who survived from the test data provided using Random forest Classifier.
A-B-test-results-analysis
A/B test run by an e-commerce website. the goal is to show insights to see if they should implement the new page or keep the old page. Using several approaches of A/B testing and logistic regression.
bikeshare-stats
Computing descriptive statistics in python exploring data related to bike share systems for three major cities in the United States.
Car-Prices-Linear-Regression
Preprocessing data and building a linear regression model to predict car prices using Python in a Jupyter Notebook.
cicd-kube-docker
automated building of docker images & using Helm for packaging and deploying to Kubernetes cluster, AWS as cloud provider, Docker Engine, Jenkins as a CICD server, GIT, Maven, SonarQube server for code analysis
Coin-Calculator
Calculates the total amount and value of coins in a given image using python's open-cv library
Library-System
A library system written in C language that manages the library's borrowing system.
no-show-appointments
This is a dataset from kaggle cleaned and analyzed in a Jupyter notebook.