Repository to store sample python programs for python learning
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Updated
Apr 25, 2024 - Jupyter Notebook
Repository to store sample python programs for python learning
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Using Python Pandas dataframe to read and insert data to Microsoft SQL Server
Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.
In this series, we're going to learn the fundamentals of the popular Python data science tool called Pandas.
Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
Quantium Virtual Experience Program hosted by Forage
Credit risk poses a classification problem that’s inherently imbalanced. Using a dataset of historical lending activity from a peer-to-peer lending services company, build a model that can identify the creditworthiness of borrowers.
This is a repository which contains a small demo of danfo.js. danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
A small project to demonstrate the ability of python pandas and openpyxl for data analysis and automation of excel sheets
Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.
This is my first project in Python Pandas. I followed two youtube tutorials.
my experiments with Pandas
Fintech Hiring Trends in the Largest U.S. Banks Analysis
The purpose of creating a binary classifier capable of predicting applicant's success rate. The Data is preprocessed, a NNM (Neurnal Network Model) is compiled, trained and evaluated.
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.
Preparing statistical summary from a dataset using Python.
This repository contains a sentiment analysis program that analyzes the sentiment (positive, negative) of text data. It utilizes natural language processing techniques and machine learning algorithms to determine the sentiment of textual input.
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 …
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