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credit_card_fraud_detection_cnnmodel

Use Convolutional Neural Network with Tensorflow 2.0 to recognize fraudulent credit card transactions based in a Kaggle dataset.

customer-purchase-intent-prediction

Research thesis and project using advanced analytics tools and implementing Machine Learning algorithms that predict purchase intention of customer in online shopping using customer behavioral analysis. • Developed a data driven framework for predicting whether a customer is going to make a specific purchase in the near future or not and a accuracy of 90% was acheived. • Advisor: Prof.Srinivasan K

cyber-bullying-detection-

Cyberbullying Detection in Social Media Using Supervised ML & NLP Techniques

cyberbully_detection

Detect Cyberbully with Machine Learning

data-engineering-zoomcamp

Free Data Engineering course!

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

data-science-machine-learning-project-with-source-code

Data Science and Machine Learning projects with source code.

data-science-roadmap

Data Science Roadmap from A to Z

data_engineering_project_template

A template repository to create a data project with IAC, CI/CD, Data migrations, & testing

dataaspirant_codes

Complete machine learning model codes

deep_hatespeech

Classifying hate speech with deep learning (honors thesis 2017-18)

dissertations

Repo for BSc. and MSc. dissertations supervised by members from the Chair of Information Systems at Humboldt-Universität zu Berlin.

ds-goodnews

Data science and analysis for the Good News project

early-detection-of-skin-cancer-using-cnn

One of the most common and fatal cancer in the universe is skin cancer which arise from skin of epidermis, the topmost layer of the skin, it can happen anywhere in the body. We can find out the cancer by early detection. Skin cancer detection is a time consuming process and very critical. So in clinical applications, the machine learning analysis of skin cancer is failed to give correct images for a model. In our paper we followed three pre-processing steps which are: a) removing the shadows from the image which is illumination correction processing, b) to find the border of the skin lesion in the segmentation part, c) feature extraction by doing the ABCD framework. Our thesis makes an attempt to implement the method of Convolutional Neural Network. Using this classification, we find out the best result in inception v3 which was trained on skin lesions and we got the accuracy of 82.4\%. So, our primary focus of this thesis is to differentiate between cancerous and non-cancerous image. Then our goal is to reduce importance of one of the painful process in cancer detection which is known as biopsy. Biopsy is removing tissue from a body and later it goes to many laboratory tests.

effectively_stopping_cyberbullying

Final Year MCA Main Project 2020

epileptic-seizure-prediction

Master Thesis: Prediction of Epileptic Seizures using Machine Learning and Deep Learning models - code repository

fastbook

The fastai book, published as Jupyter Notebooks

financial-fraud-detection-using-machine-learning

Masters of Science in Data Analytics Thesis

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

financial-statement-analysis

Financial Statement Analysis

financial-statement-analysis-assignment-in-rstudio

Financial Statement analysis

forecasting-retail-sales-using-google-trends-and-machine-learning

Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.

fpl-ml-comparision

Code for our master thesis: "Comparison of Machine Learning Approaches Applied to Predicting Football Players Performance"

google_analytics_customer_revenue_prediction

UCC undergraduate thesis. Predicting revenue per customer based on web traffic data.

graphenhancedmachinelearningforfraud

This project is part of a master's thesis studying how supervised learning models for detecting fraud can be improved by incorporating features based on graph theory

health-care-cost-analysis---r-programming

Analysis of Hospital Costs by R Programming

hello-world

hello_world

ALX Hello World Task

holberton-system_engineering-devops

holberton system engineering devops

hospital-cost-analysis

Hospital Cost Analysis in R