applied-data-science-with-python-specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

bitcoin-linear-regression

detecting-driver-distraction-using-deep-learning-approach

diceechallenge-

drum-kit-

eda-netflix-movies

Analysis on Netflix Movies & TV Shows Netflix is a popular service that people across the world use for entertainment. In this EDA, I will explore the Netflix-shows dataset through visualizations and graphs.

effectiveness-of-telehealth-in-saudi-arabia-during-covid-19-pandemic

exploratory-data-analysis-eda-

NYC health is one of the well-known centers in New York City to offer PCR tests for COVID-19 the center decided to establish ten mini examination centers in MTA stations. Thus NYC health is now in a mission to find the most crowded stations in New York City based on analyzing the MTA stations dataset which will give a better understanding of the movements inside the stations and the persona.

fake_social_media_profile_detection

javaproject.github.io

Hotel Management System

pml

Practical Machine Learning

seattlebike

Understanding Seattle Bike Count data

thisisrawabi

tin-dog