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100-days-of-ml-code

100 Days of ML Coding

google-data-analytics-capstone-complete-a-case-study-on-divvy-bike-share

This analysis is based on the Divvy case study “‘Sophisticated, Clear, and Polished’: Divvy and Data Visualization” written by Kevin Hartman (found here link. The purpose of this script is to consolidate downloaded Divvy data into a single dataframe and then conduct simple analysis to help answer the key question: “In what ways do members and casual riders use Divvy bikes differently?”. This document outlines all of the steps taken to clean and transform Cyclistic’s raw datasets to prepare the data for the next stage of analysis. For the purpose of this case study, only data collected between April 2020 - March 2021 will be assessed. The dataset description can be located here. Please note that Cyclistic is a fictional company. Raw data has been collected by Motivate International Inc, the company which operates the City of Chicago’s Divvy bicycle sharing service. The license to use this public dataset can be found here.

kanakaraj-b

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

new_ml_project

python-interview-questions

300+ Python Interview Questions

python-programming-exercises

100+ Python challenging programming exercises

pytorch-deep-learning

Materials for upcoming beginner-friendly PyTorch course (work in progress).

the-grand-complete-data-science-materials

thecompletepyhtonprobootcamp_udemy