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assignment-for-ds-candidates

black-friday

black-jack

blog_site

blogscraper

Imagine you have to pull a large amount of data from websites and you want to do it as quickly as possible. How would you do it without manually going to each website and getting the data? Well, “Web Scraping” is the answer. Web Scraping just makes this job easier and faster.

breast-cancer

Using the Breast Cancer Wisconsin (Diagnostic) Database, we can create a classifier that can help diagnose patients and predict the likelihood of a breast cancer. ... In this exercise Logistic regression and Decission Tree and Random Forests is being implemented with 99% accuracy.

car-price-prediction-deployment

chatty_chat

code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

covid-19-interventions-analysis

covid-19-tweets-analysis

covid-2019-prediction-model

The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was identified in Wuhan, China, in December 2019.Among the standard models for COVID-19 global pandemic predictionBased on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak

credit-card-fraud-detection

Credit card fraud detection using machine learning techniques: A comparative analysis. ... Dataset of credit card transactions is sourced from European cardholders containing 284,807 transactions. A hybrid technique of under-sampling and oversampling is carried out on the skewed data.

credit-card-fraud-detection-using-autoencoders

data-science-cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

data-science-interview-questions

dataanalytics--introductiondatawrangling-jupyternotebooks

Resources for Conclusion SIG Data Analytics - Inleiding Data Wrangling (met Python & Jupyter Notebooks)

deep-learning-basics

deep-learning-models

eda-app-using-streamlit

eve-bot

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

exploring--deadlines-of-terrorist-attack

face-recog

In order to build our OpenCV face recognition pipeline, we'll be applying deep learning in two key steps. >> To apply face detection, which detects the presence and location of a face in an image, but does not identify it. >> To extract the 128-d feature vectors (called “embeddings”) that quantify each face in an image.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

finance-app

gaze-detection

👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.

generative_ai_project

graphic-resume-black

heart-disease-symtoms

Heart disease is one of the biggest causes of morbidity and mortality among the population of the world. Prediction of cardiovascular disease is regarded as one of the most important subjects in the section of clinical data analysis. The amount of data in the healthcare industry is huge. Data mining turns the large collection of raw healthcare data into information that can help to make informed decisions and predictions.