d4pika Goto Github PK

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

5-year-old-ml-series

airline-delay-causes

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

containerized-data-pipeline-and-distributed-analytics

Whitepaper (opinionated)

crypto-currencies

In this research, we want to found out what are the dominant factors that affect the market capital of crypto-currency market. Based on the research, we find out the next promising crypto-currency market is really a market for opportunists and the other market factors that influence the cryptocurrency’s performance.

data-product

deep-learning

deeplearning-coursera

For the Deep Learning projects

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratory-data-analysis

learning from john Hopkins course on coursera

fraud-ad-detection-using-natural-language-processing

This project intends to solve the house hunt problem by sending the updates of new listings as per the selection criteria of the user by filtering spam in housing listings using NLP. It uses SMTP to send emails, nltk for NLP and tkinter for creating UI

gans-my-painting-passion-gans

Experimentation with GANs

getting-and-cleaning-data

learning from john Hopkins course on coursera

gnnpapers

Must-read papers on graph neural networks (GNN)

image-pre-processing-

intro2stats

Introduction to Statistics using Python

kaggle-eda-and-modeling-google-analytics-competeion

The 80/20 rule has proven true for many businesses–only a small percentage of customers produce most of the revenue. As such, marketing teams are challenged to make appropriate investments in promotional strategies. GStore RStudio, the developer of free and open tools for R and enterprise-ready products for teams to scale and share work, has partnered with Google Cloud and Kaggle to demonstrate the business impact that thorough data analysis can have. In this competition, you’re challenged to analyze a Google Merchandise Store (also known as GStore, where Google swag is sold) customer dataset to predict revenue per customer. Hopefully, the outcome will be more actionable operational

mongo-db-

ETL using python, pymongo , and MongoDB database fortesting hypothesis on performance statistics of android and ios mobile applications

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

natural-language-understanding

Personal project to gain some understanding

netflix--pricing

To understand pricing strategy of Netflix

pandas_exercises

Practice your pandas skills!

pharmacy_counting

predictive-machine-learning

Coursera machine learning

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project-management-using-agile-methodologies

Sentiment Analysis and price prediction of Housing prices.

r-4-analytics