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 …

Analyze the numbers related to Covid-19 infections, deaths and vaccinations around the world until January 27th 2022.

PythonPandas - Analysis of IMDB movies data

Python script read excel (xlsx) and match text from text file.

Repository to store python programs for python.

This project is part of Advanced Data Analysis Nanodegree with Udacity. It includes performing an exploratory data analysis using Python. Then, create a presentation with explanatory plots.

Uses Python Pandas to generate a report that breaks down a start-up video game's purchasing data into meaningful insights.

Web Scrapping using Beautiful Soup

This data science project aims to perform exploratory data analysis on the impact of the spread of the Coronavirus and help researchers, policymakers, and the general public to learn and better understand the dynamics of the COVID-19 pandemic and make informed decisions for their health and safety.

Alphabet Soup’s business team receives many funding applications from startups every day. This team has asked you to help them create a model that predicts whether applicants will be successful if funded by Alphabet Soup.

Project for mapping air quality in Europe by years with key indicators

The repository showcases an analysis of a car dataset using the Python Pandas library.

Python Data Analysis using pandas

Combine your new algorithmic trading skills with your existing skills in financial Python programming and machine learning to create an algorithmic trading bot that learns and adapts to new data and evolving markets.

10alytics_air_realtor ,a dynamic repository, hosts an AWS-driven data pipeline. Utilizing Apache Airflow, AWS S3, and EC2, it performs efficient ETL operations, extracting comprehensive real estate data from the Realty Mole Property API via RapidAPI. This tool empowers real estate professionals with timely insights for strategic decision-making.