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.

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.

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.

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.

Python Data Analysis using pandas

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.

A small project to demonstrate the ability of python pandas and openpyxl for data analysis and automation of excel sheets

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.

Using Python Machine Learning technique for detecting credit card fraud. Machine Learning techniques like Logistic Regression, Decision Tree , Random Forest techniques were used to predicting the fraud.

Python projects.