dariga-sm Goto Github PK

a-b-tset

A/B test projects

alfa-way-case-of-alfa-bank-

churn-in-next-month

coursera_capstone

Coursera IBM Data Science specialization capstone project

disney-movies-and-box-office-success

Analyze data to see how Disney movies have changed in popularity since its first movie release. Also perform hypothesis testing to see what aspects of a movie contribute to its success.

dr.-semmelweis-and-the-discovery-of-handwashing

In 1847, the Hungarian physician Ignaz Semmelweis makes a breakthough discovery: He discovers handwashing. Contaminated hands was a major cause of childbed fever and by enforcing handwashing at his hospital he saved hundreds of lives. In this python project we will reanalyze the medical data Semmelweis collected.

exploring-67-years-of-lego

explore the Rebrickable database

exploring-the-bitcoin-cryptocurrency-market

explore the market capitalization of different cryptocurrencies.

exploring-the-evolution-of-linux

extract-stock-sentiment-from-news-headlines

Investing insight by applying sentiment analysis on financial news headlines from Finviz. Using this natural language processing technique, you will understand the emotion behind the headlines and predict whether the market feels good or bad about a stock.

find-a-reson-of-a-customer-churn

Virtual Internship

generating-keywords-for-google-ads

Creating a prototype set of keywords for search campaigns for their sofas section.

hackaton

homework

Programming 1 (Python) Exercises 5,6,9

kpmg_vi_tableau_dashboard

mit-6.s191-deep-learning--solved-labs-

MIT deep learning course

ml-intro-homework

Openai course assignments, MethodPro internship

mlcourse_open-1

OpenDataScience Machine Learning course (yet Russian-only)

movie-reccomendation-backend

MethodPro

nai-ve-bees-image-loading-and-processing

Use the Python image library Pillow to load and manipulate image data, then build a model to identify honey bees and bumble bees given an image of these insects.

predicting-credit-card-approval

build an automatic credit card approval predictor using machine learning techniques, just like the real banks do.

prediction-of-potential-buyers

Predict whether client will buy TV or Not

python-flask-task

MrthodPro: Microservices task

sql-projects

SQL projects

telco-churn-prediction

Data management. Telecom customer churn prediction

the-android-app-market-on-google-play

Load, clean, and visualize scraped Google Play Store data to understand the Android app market.

the-github-history-of-the-scala-language

Find the true Scala experts by exploring its development history in Git and GitHub.

tv-halftime-shows-and-the-big-game

What are the most extreme game outcomes? How does the game affect television viewership? How have viewership, TV ratings, and ad cost evolved over time?

up-and-down-with-the-kardashians-datacamp

Plot Google Trends data to find the most famous Kardashian/Jenner sister.

which-debts-are-worth-the-bank-s-effort-

Look at a situation where a bank assigned delinquent customers to different recovery strategies based on the expected amount the bank believed it would recover from the customer. The goal for the data scientist is to determine in this non-random assignment whether the incremental amount the bank earns exceeded the additional cost of assigning customers to a higher recovery strategy.