Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.
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Updated
Sep 19, 2017 - Python
Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.
Python Data Analysis using pandas
Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.
Python学习资料的搜集和整理,方便朋友们的学习...持续更新...需要的记得star一下
Loaded the iris dataset in Python using a Pandas data frame.Performed a PCA using Scikit Decomposition component.Plotted the Principal Components to recreate the scatterplot for each flower type
my experiments with Pandas
Fintech Hiring Trends in the Largest U.S. Banks Analysis
Employee exit survey results from two institutes, Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) in Queensland, Australia, were analyzed to discover if there were notable relationships between employee dissatisfaction rates, and factors such as their Age, and how long they had been working …
Análise de dados do reembolso de senadores em 2018 com a biblioteca Pandas do Python
This ride sharing analysis was done with data used from both Lyft and Uber the data is from 2018 and has rides with city active driver and historic rides with city and driver count with individual fares and city type.
Analyze various NFL projects designed to increase ROI for NFL Prospects
Analysis of Pymaceuticals's recent animal study screening for potential anti-cancer treatments. Provided a statistical analysis of the drug regimens and their effectiveness in reducing tumor volume.
Analysis of Paycheck Protection Program by the government done to the Covid crisis in 2020. This repository focuses on merging, cleaning, normalizing and exploring the data using Python, Python Pandas and PySpark.
Generating a report that breaks down the game's purchasing data into meaningful insights.
Using Python and SQLAlchemy to do basic climate analysis and data exploration of our climate database. Then after initial analysis, designing a Flask API based on the queries that we just developed.
statistics, machine-learning, symbolic math done in Python
Purchase Analysis of purchasers broken down by gender, age, and user ID utilizing Jupyter notebooks, python, and the pandas library.
Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
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